AndreaBozzo/ceres-open-data-index huggingface dataset:
RNA-seq data from Ecklonia radiata exposed to combined temperature and CO₂ treatments

This dataset contains raw RNA sequencing reads from juvenile Ecklonia radiata (Laminariales) collected from Coal Point, Tasmania, and used in a controlled laboratory experiment examining the effects of temperature and elevated CO₂ on gene expression. Individuals were exposed to three temperatures (6, 16, and 26 °C) under two CO₂ levels: current (~420 µatm) and future (~1000 µatm), representing RCP 8.5 projections. Total RNA was extracted from blade tissue and sequenced on an Illumina NovaSeq 6000 platform to produce 150 bp paired-end reads. The dataset includes raw FASTQ files from 30 biological samples (n = 5 per treatment combination) used for transcriptomic analyses investigating the molecular responses of E. radiata to ocean warming and acidification.

Tags: Laminariales
Organization: Australian Ocean Data Network
IMOS - Ships of Opportunity - Sea Surface Temperature data collected on the Merchant Vessel OOCL Houston

This dataset contains Sea Surface Temperature (SST) underway observations collected on trips of a merchant vessel OOCL Houston (callsign VRDE7). 

Bulk SST is measured by SBE48 hull contact sensor. The sensor is located 8.2m below the summer load line. 

Observed data are 1-minute median SST values and are retrieved from the vessel once an hour and quality controlled at the Bureau of Meteorology. A daily file is available after 0100 UTC.

Tags: Oceans | Ocean Temperature | Sea Surface Temperature, latitude, longitude, platform_course, platform_speed_wrt_ground, sea_surface_temperature
Organization: Australian Ocean Data Network
Effects of ocean alkalinity enhancement on Southern Ocean phytoplankton growth and community composition

This dataset was generated to assess the  biological impacts of ocean alkalinity enhancement (OAE) in the Southern Ocean. Deck-board incubation experiments were conducted at five sites spanning subantarctic to sea-ice regions during the RV Investigator MISO voyage (January–March 2024). Unfiltered surface seawater was incubated for 5–8 days following additions of three alkalinity sources: sodium hydroxide (NaOH), ground olivine, and steel slag, alongside untreated controls.

Measurements collected at the beginning and end of each incubation included carbonate chemistry (total alkalinity and pH), macronutrients (nitrate, phosphate, silicate), chlorophyll-a, biogenic silica, photophysiology (Fv/Fm), and plankton community composition. Phytoplankton and bacterial abundances were quantified using flow cytometry, while genus-level phytoplankton composition was determined by light microscopy. A complementary dark leaching experiment quantified dissolved trace metal release from each OAE material using ICP-MS.

The purpose of the study was to distinguish the biological effects of alkalinity change alone from those arising from collateral nutrient and trace-metal release, and to evaluate how different OAE materials influence phytoplankton growth and community structure in iron-limited Southern Ocean waters. The dataset supports assessment of ecological risks and co-benefits associated with ocean alkalinity enhancement as a carbon dioxide removal strategy.

Tags: Southern Ocean, iron limitation, mCDR, ocean alkalinity enhancement, ocean iron fertilisation
Organization: Australian Ocean Data Network
Dissolved iron profiles at the Southern Ocean Time Series (SOTS) from IN2018_V02 and IN2019_V02

This dataset contains oceanographic profiles of dissolved iron (DFe) at the Southern Ocean Time Series collected during voyages IN2018_V02 and IN2019_V02 aboard RV Investigator, CSIRO Marine National Facility. Profiles of DFe were collected using a 12-bottle trace metal rosette (TMR; Seabird Scientific) equipped with acid washed, externally sprung Niskin bottles (Ocean Test Equipment). GEOTRACES cleaning, sampling, analytical and intercalibration procedures (Cutter et al., 2017) were followed where possible. Full sampling and analytical details for these profiles can be found in Ellwood et al., (2020a) and Ellwood et al., (2020b)

Tags: Southern Ocean Time Series, dissolved iron, subantarctic
Organization: Australian Ocean Data Network
Impact of COVID-19 on the Australian Seafood Industry - Metadata Catalogue of Data Assets

This metadata catalogue presents a list of the data assets used in the analysis presented in this report:
Ogier, E., Sen, S., Smith, D. C., Rust, S., Magnusson, A., Jennings, S., Pethiyagoda, N., Spanou, E. (2025). Impact of COVID-19 on the Australian Seafood Industry: January 2020-June 2021 and beyond. Report prepared as part of FRDC project 2021-042: Impacts of COVID-19 on the Australian Seafood Industry: Extending the assessment to prepare for uncertain futures. Canberra, Australia, Fisheries Research and Development Corporation (FRDC).

Tags: Abalone, Albacore tuna, Bigeye tuna, Blue grenadier, Blue swimmer crab, Bluefin tuna, Broadbill swordfish, COVID-19, Mud crab, Orange roughy, Rock lobster, Southern Lobster, Tropical Lobster, Western Lobster, Yellowfin tuna
Organization: Australian Ocean Data Network
Tasmanian Fisheries and Aquaculture Economic and Social Assessment Data 2017/18 - 2020/21

This report provides an assessment of the social and economic status and performance of Tasmanian fisheries and aquaculture, 2017/18 to 2020/21. Tasmania’s fisheries and aquaculture sectors (i.e., commercial, recreational and Tasmanian Aboriginal businesses and users) are important parts of the Tasmanian economy and broader community and generate a diverse range of social and economic benefits. 

Achieving economic and social benefits from marine resources is an objective of fisheries and marine farming (aquaculture) management in Tasmania, as outlined in the Living Marine Resources Management Act 1995 (hereafter referred to as LMRMA) and the Marine Farming Planning Act 1995 (hereafter referred to as the MFPA).
The indicators used in this assessment reflect this legislative objective as well as best-practice (for example, see NOAA Fisheries Socioeconomics, PIRSA Social and Economic Assessments). They were chosen to be relevant to managing sector-wide and community outcomes from these fisheries and aquaculture activities. 

This report does not attempt to benchmark performance. It is intended to inform industry and sector representative organisations, government agencies with policy and regulatory responsibilities, other marine research groups, and interested members of the Tasmanian community, of social and economic outcomes and change in those outcomes across time.

This is the first assessment report of this type. It follows from an initial pilot assessment of Tasmanian fisheries (Ogier et al. 2018) and is intended to be one of a series. The period of time covered by this assessment (2017/18 - 2020/21) encompasses both the period prior to and across the COVID-19 pandemic. The impacts of the pandemic on economic and social indicators for these sectors is therefore captured. 

This assessment encompasses commercial, recreational, and Tasmanian Aboriginal community sectors using managed marine resources. The findings are based on a range of assessment and research activities undertaken by the Institute for Marine and Antarctic Studies (IMAS) of the University of Tasmania.
Specific fisheries and aquaculture sectors assessed are: Tasmanian Abalone Fishery, Tasmanian Giant Crab Fishery, Tasmanian Rock Lobster Fishery, Tasmanian Scalefish Fishery, Tasmanian Scallop Fishery, Tasmanian Abalone Aquaculture, Tasmanian Pacific Oyster Aquaculture and Tasmanian Salmonid Aquaculture.

Tags: Abalone, Dive species, Economic benefits, Economic indicators, Giant crab, Pacific Oyster, Salmon, Scalefish, Scallop, Social benefits, Social indicators, Socio-economic benefits, Socio-economic indicators, Southern rock lobster, Tasmania, Urchin
Organization: Australian Ocean Data Network
IMOS - Ships of Opportunity - Sea Surface Temperature data collected on the Merchant Vessel Stadacona

This dataset contains Sea Surface Temperature (SST) underway observations collected on trips of a merchant vessel Stadacona (callsign C6FS9).

Bulk SST is measured by SBE48 hull contact sensor. The sensor is installed in the engine compartment and its depth is varied from 2 to 7 meters (depending on loading of vessel). SST data (along with meteorological data from ship AWS) are instantaneous, collected every 3 hours.

The data are quality controlled by the Bureau of Meteorology. The daily data files are available from eMII shortly after 0000 UTC.

Tags: Atmosphere | Atmospheric Pressure | Atmospheric Pressure, Atmosphere | Atmospheric Temperature | Air Temperature, Atmosphere | Atmospheric Water Vapor | Dew Point, Oceans | Ocean Temperature | Sea Surface Temperature, Oceans | Ocean Winds | Surface Winds, air_pressure, air_temperature, dew_point_temperature, latitude, longitude, platform_course, platform_speed_wrt_ground, sea_surface_temperature, wet_bulb_temperature, wind_from_direction, wind_speed
Organization: Australian Ocean Data Network
Sea-ice HI-Photogrammetry Cape Evans (SIHIPCE) 2018-2019

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).

Tags: BIOPHYSICAL, HYPERSPECTRAL IMAGING, IMAGERY, MAPPING, OPTICAL, REMOTE SENSING, SEA ICE ALGAE, UNDER-ICE
Organization: Australian Ocean Data Network
Location of select environmental restoration projects in Tasmania

This dataset was compiled for the Tasmania's Marine Atlas from published sources and 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 shown do not present the actual restoration sites.

Tags: Environmentally Friendly Moorings, Giant kelp, Macrocystis pyrifira, Ostrea angasi, Seagrass, saltmarsh restoration, seagrass habitat resporation, wetland restoration
Organization: Australian Ocean Data Network
Extreme Weather Events and Marine Predators Data

This dataset contains processed weather variables, extreme weather indices, to examine the influence of extreme weather events (EWEs) on the reproductive output of three marine predator species in Tasmania: Australian fur seals, short-tailed shearwaters, and shy albatross. The biological data themselves are not included in this submission, as they are owned and managed by the Marine Conservation Program (MCP), Department of Natural Resources and Environment Tasmania, and the Friends of Maatsuyker Island (FOMI, Wildcare Inc.).

Weather information was compiled from the Bureau of Meteorology (BOM), the BARRA2 atmospheric reanalysis dataset, and the CAWCR wave hindcast model. Daily summaries and synoptic observations were used to derive meteorological variables relevant to species’ breeding seasons, including temperature, rainfall, wind, solar radiation, wave energy, and derived measures such as wet-bulb globe temperature (WBGT) and apparent temperature (AT). Extreme weather indices were calculated following BOM definitions, using ≥30-year climatological baselines where available. Percentile-based indices were produced in both binary (occurrence) and continuous (magnitude) forms to characterise heatwaves, rainfall extremes, and other EWEs.

The purpose of assembling these weather datasets and code is to provide a transparent, reproducible foundation for analysing environmental drivers of reproductive variability across marine predator species in Tasmania. This resource enables users to replicate the workflow used in the associated publication, and statistical analyses linking environmental extremes to breeding outcomes.

Tags: Australian fur seal, Marine mammals, Pinnipeds, Seabirds, Short-tailed shearwater, Shy albatross
Organization: Australian Ocean Data Network
Australian land and coastline (including Lord Howe Island) at Lowest Astronomical Tide (LAT) datum

Land features were derived by aggregating and dissolving the boundaries of the 1 degree S57 file (lndare_a layer) series for the Australian continent (+ Lord Howe Island). This represents land the area defined at Lowest Astronomical Tide (LAT) by the Australian Hydrographic Office. The Great Australian Bight was missing from this series, and was replaced by Geoscience Australia's 1:100k coastline.

This data has been made available through the data collation process conducted by the NESP Marine Biodiversity Hub Project D3 (Reefs on the Australian Continental Shelf).

Tags: COASTLINE
Organization: Australian Ocean Data Network
Respiratory quotients of particle-associated microbes track carbon flux attenuation in the mesopelagic Southern Ocean

Mesopelagic microbes and zooplankton, degrade and attenuate &gt;90% of the 10 billion tonnes of Particulate Organic Carbon (POC) that sinks into the oceans’ interior annually.  Approaches such as particle interceptors/incubators (called C-RESPIRE) can isolate the microbial assemblage attached to particles from that of zooplankton, enabling quantification of microbially-mediated POC flux attenuation.  This metric yields patterns of POC degradation by microbes through the upper mesopelagic (200-500 m depth).  Here, we investigate the temporal sequence of POC degradation in two steps. First, we intercept sinking particle assemblages from different depths (180-300 m) and hence with varying degrees of exposure to microbial activity.  Second, we incubate these intercepted particles shipboard for 12h (short-term) and track degradation using Apparent Respiratory Quotients (ARQ, dDIC/dDO2).   We also incubate shipboard (12h) a particle assemblage previously incubated (36h) in situ using C-RESPIRE (long-term).  At a subantarctic and two polar sites, ARQs from short-term incubations exhibited a significant decrease with depth, consistent with particles deeper in the upper mesopelagic being exposed to a longer period of degradation and flux attenuation (as they settle).  ARQs from all long-term incubations had significantly lower ARQs, and smaller depth-dependent gradients, than the short-term incubations.  We interpret these trends as being driven in part by sequential changes in the stoichiometry of the microbially-altered POC substrates.   Several ARQs of &lt;0.5 (less than the theoretical minimum) were observed in long-term incubations suggesting a role for incomplete oxidation of substrates.  This temporal sequence is used to conceptually explore what sets the limits on microbially-mediated degradation of POC.

Organization: Australian Ocean Data Network
Depth contours at multiple intervals of the Australian 250m 2024 bathymetry grid (AusBathyTopo)

This dataset comprises derived bathymetric isobaths (depth contour lines) generated from the Geoscience Australia (GA) AusBathyTopo 250m 2024 gridded bathymetric dataset (https://dx.doi.org/10.26186/150050). The AusBathyTopo 250m grid provides a high-resolution terrain model for Australia, covering ocean and land areas from 92°E to 172°E and 8°S to 60°S at a resolution of 250 metres. The bathymetric contours are clipped to the boundaries of the Australian Exclusive Economic Zone (EEZ: https://amsis-geoscience-au.hub.arcgis.com/datasets/geoscience-au::exclusive-economic-zone-limits/about), and includes all regions including and below Mean Sea Level (MSL).

Four contour datasets are provided:

1) 100 m intervals: full EEZ coverage.
2) 5 m intervals: shallow regions between 0–200 m depth (nominally the Australian continental shelf and shallow oceanic features).
3) 1 m intervals: shallow regions between 0–200 m depth.
4) Composite product: Multi-resolution contours with full EEZ coverage, including:
    • 2 m intervals for depths 0–30 m.
    • 5 m intervals for depths 30–100 m.
    • 10 m intervals for depths 100–200 m.
    • 50 m intervals for depths 200–2,000 m.
    • 100 m intervals for depths 2,000–8,000 m.

These contour datasets are intended for use in marine spatial planning, mapping visualisation, and broad-scale analysis. Due to the smoothing procedures applied during their creation the are not suitable for engineering or high-precision applications.

The contours presented through the Web Mapping Services (WMS) linked to this record are optimised for visualisation purposes and have been simplified using a tolerance of 10 meters for efficient rendering in mapping applications. For users requiring full-resolution data, the download packages include the original, unsimplified contour products.

Tags: depth contours, geographic information systems (GIS), isobaths, marine spatial planning
Organization: Australian Ocean Data Network
Global Fisheries Landings V1.0 [ARCHIVED VERSION]

NOTE THIS IS AN ARCHIVED VERSION OF THE GLOBAL FISHERIES LANDING DATA AND MAY BE INCOMPLETE. The current version of the data is available from https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/5c4590d3-a45a-4d37-bf8b-ecd145cb356d and should be used for all future analyses from 16/01/2019. For any questions about version changes to this dataset, please contact the Point of Contact nominated in this record.

Global fisheries landings supplied by a number of agencies (FAO/UN, CCAMLR, NAFO, ICES etc) are mapped to 30-min spatial cells based on the range/gradient of the reported taxon, the spatial access of the reporting country's fleets, and the original reporting area. This data is associated with types of fishing gears. Estimates of illegal, unreported and unallocated landings are included as are estimates of the weight of fisheries products discarded at sea. Mapping the source of fisheries capture allows investigation of the impacts of fishing and the vulnerability of fishing (with its associate food security implications) to climate change impacts.

Tags: Area (estimated) of ocean surface in the spatial cell, Cephalopod, Common (English) Name, Country, Country Code, Crustacean, Discards, Fish, Fishing, Fishing Gear Code, Gear name in most specific form, Global, Illegal Fishing, Landings, Latitude of centre of spatial cell, Longitude of centre of spatial cell, Mollusc, Pelagic, Rate of Illegal Catch, Rate of associated discards at sea, Reported large-scale fishing catch rate, Scientific Taxonomic Name, Shark, Small scale fisheries catch rate, Spatial Cell Code, Taxon Code, Tuna, Year (Calendar)
Organization: Australian Ocean Data Network
IMOS - Ships of Opportunity - Sea Surface Temperature data collected on the MV Pacific Celebes

This dataset contains Sea Surface Temperature (SST) underway observations collected on trips of the MV Pacific Celebes (callsign VRZN9).

SST is measured by two different types of sensors. One is Aanderaa 4050, 3 of which are installed in a water tank in the engine room, and a Seabird SBE 48.
The water supply to the tank comes from the main water intake at the bottom (at the nominal depth of 12 meters) and about 15-20 meters of piping.
SBE48 is located in the engine compartment next to the water tank at the depth of 8 meters (when the ship is fully laden). SST and met data are instantaneous, collected every 5 minutes.

The data are quality controlled by the Bureau of Meteorology. The daily data files are available from the AODN after 0700 UTC.

Tags: Atmosphere | Atmospheric Pressure | Atmospheric Pressure, Atmosphere | Atmospheric Temperature | Air Temperature, Atmosphere | Atmospheric Water Vapor | Humidity, Oceans | Ocean Temperature | Sea Surface Temperature, Oceans | Ocean Winds | Surface Winds, Oceans | Salinity/density | Conductivity, Oceans | Salinity/density | Salinity, air_pressure, air_temperature, latitude, longitude, platform_course, platform_speed_wrt_ground, sea_surface_temperature, sea_water_electrical_conductivity, sea_water_salinity, wind_from_direction, wind_speed
Organization: Australian Ocean Data Network
Southern Ocean Monthly Climatology

Outline

This is the Southern Ocean Monthly Climatology of Yamazaki et al. "Unlocking Southern Ocean Under-ice Seasonality with a New Monthly Climatology". The interpolation method follows Barth et al. (2014) available via DIVAnd Julia package (https://github.com/gher-uliege/DIVAnd.jl). CTD data sourced from Argo, MEOP, and World Ocean Database (including low resolution ocean station data).

The dataset covers south of 40S and above 2000 dbar (above 1000 dbar for "_minimal"). The horizontal grid is 1/4 and 1/2 degrees in latitude and longitude, and the vertical grid is the 66 WOA layers. Mixed layer depth, temperature, salinity, crudely derived from max("Δσθ_10m=0.03kg/m³", "Holte&amp;Talley"), are also provided in "_MLD". 

The following variables are included (* are excluded in "_minimal"):

In-situ temperature (°C) in ITS-90

Practical salinity (psu)

*Standard deviation of temperature (°C), inferred by the spread of observations

*Standard deviation of practical salinity (psu), inferred by the spread of observations

*Interpolation error of temperature (°C), inferred by the sparsity of observations

*Interpolation error of practical salinity (psu), inferred by the sparsity of observations

*Cabbeling correction for temperature (°C)

*Cabbeling correction for practical salinity (psu)

*Density stabilization factor for temperature (°C)

*Density stabilization factor for practical salinity (psu)

Project Description

The advent of under-ice profiling float and biologging techniques has enabled year-round observation of the Southern Ocean and its Antarctic margin. These under-ice data are often overlooked in widely used oceanographic datasets, despite their importance in understanding seasonality and its role in sea ice changes, water mass formation, and glacial melt. We develop a monthly climatology of the Southern using Data Interpolating Variational Analysis, which excels in multi-dimensional interpolation and consistent handling of topography and horizontal advection. The dataset will be instrumental in investigating the seasonality and improving ocean models, thereby making valuable under-ice observations more accessible.

Tags: Antarctica, Southern Ocean, physical oceanography
Organization: Australian Ocean Data Network