AndreaBozzo/ceres-open-data-index huggingface dataset:
BRUVS (TM) - Fish and Benthic survey of Southern Great Barrier Reef 2007-07-31 to 2007-08-12

The dataset comprises 4417 individuals from 193 species of fishes, sharks, rays and sea snakes observed at around Southern Great Barrier Reef using 33 baited remote underwater video stations (BRUVS(TM)). 973 images were captured from these cameras.

Approximately 3500 of the best images from all BRUVS (TM) projects are stored in a reference library.

Data recorded concern:
- classification of the habitat in the field of view (topography, sediments, benthos)
- the identity of fish and CAABCODES
- their time of arrival
- their behaviour (8 categories, including feeding on the bait)
- their maturity (adult or juvenile)
- their relative abundance (as MaxN = the maximum number visible at one time, or distinguishable at different times as separate individuals e.g. much larger/smaller, male/female)
- the time elapsed before MaxN and feeding occurs.

A custom interface has been developed by AIMS staff, using Microsoft Access, for reading and analysis of BRUVS(TM) tapes.

Organization: Australian Ocean Data Network
Floating Forests Kelp Cover from Online Citizen Science

This dataset comes from the Floating Forests project (https://floatingforests.org). Floating Forests is an online citizen science project attempting to map the cover of surface-canopy forming kelps, primarily the giant kelp Macrocystis pyrifera, using Landsat data. To acquire the data, citizen scientists were given tiles of images taken from the Landsat series of satellites (https://landsat.usgs.gov/) scenes that had been manipulated to make kelp more visible. Landsat has a roughly two week repeat time for the entire globe and a 30m resolution, although given variability in weather quarterly aggregation is recommended. Each image was scene at minimum four times. If no kelp was noted, then it was retired and scored as a zero. If kelp was noted in the first four classifications, then an individual image was shown to fifteen people total.

The polygons of kelp beds presented here represent consensus classifications from the platform and are tagged with minimum number of users who classified pixels in the polygons as kelp. For example, at the five user threshold, each area represents pixels where at least five users - not necessarily the same five users - said there was kelp present. This consensus classification has been shown to match very closely to expert classifications. For more information and links to outputs, see https://blog.floatingforests.org in addition to the main project site. Or go to the main project site, and start a conversation in the "talk" section of the site.

Tags: Macrocystis pyrifera, citizen science, remote sensing, satellite imagery
Organization: Australian Ocean Data Network
IMOS Ships of Opportunity Underway Data from AIMS Vessel RV Cape Ferguson Trip 8482 From 31 Jan 2025 To 16 Feb 2025

'Ships of Opportunity' (SOOP) is a facility of the Australian 'Integrated Marine Observing System' (IMOS) project. This data set was collected by the SOOP sub-facility 'Sensors on Tropical Research Vessels' aboard the RV Cape Ferguson Trip 8482.

Organization: Australian Ocean Data Network
IMOS Ships of Opportunity Underway Data from AIMS Vessel RV Cape Ferguson Trip 5436 From 13 Apr 2012 To 28 Apr 2012

'Ships of Opportunity' (SOOP) is a facility of the Australian 'Integrated Marine Observing System' (IMOS) project. This data set was collected by the SOOP sub-facility 'Sensors on Tropical Research Vessels' aboard the RV Cape Ferguson Trip 5436.

Organization: Australian Ocean Data Network
ETAS (Eastern TASmania) Ocean Model Output - Temperature, Salinity, Along/Cross-shore/Vertical Currents, Density, Sea level

The ETAS (Eastern TASmania) model is a high-resolution (~2 km in the horizontal) ocean model for eastern Tasmania, providing three-dimensional estimates of daily temperature, salinity, and circulation over the 1993-2014 period. This dataset consists of temperature, salinity, along- and cross-shore currents, density and sea level organised into yearly files.

Tags: Climatology (excl. Climate Change Processes), I component of bottom current deviation at left face, I component of current at left face, J component of bottom current deviation at back face, J component of current at back face, K component of current at cell centre and Z grid, Latitude at cell centre, Latitude at centre of back face, Latitude at centre of left face, Longitude at cell centre, Longitude at centre of back face, Longitude at centre of left face, Physical Oceanography, Surface Elevation, Time, Z coordinate at grid layer faces
Organization: Australian Ocean Data Network
IMOS Ships of Opportunity Underway Data from AIMS Vessel RV Cape Ferguson Trip 7478 From 28 Oct 2020 To 02 Nov 2020

'Ships of Opportunity' (SOOP) is a facility of the Australian 'Integrated Marine Observing System' (IMOS) project. This data set was collected by the SOOP sub-facility 'Sensors on Tropical Research Vessels' aboard the RV Cape Ferguson Trip 7478.

Organization: Australian Ocean Data Network
IMOS Ships of Opportunity Underway Data from AIMS Vessel RV Cape Ferguson Trip 8080 From 28 May 2023 To 22 Jun 2023

'Ships of Opportunity' (SOOP) is a facility of the Australian 'Integrated Marine Observing System' (IMOS) project. This data set was collected by the SOOP sub-facility 'Sensors on Tropical Research Vessels' aboard the RV Cape Ferguson Trip 8080.

Organization: Australian Ocean Data Network
IMOS Ships of Opportunity Underway Data from AIMS Vessel RV Solander Trip 8221 From 07 Jan 2024 To 22 Jan 2024

'Ships of Opportunity' (SOOP) is a facility of the Australian 'Integrated Marine Observing System' (IMOS) project. This data set was collected by the SOOP sub-facility 'Sensors on Tropical Research Vessels' aboard the RV Solander Trip 8221.

Organization: Australian Ocean Data Network
IMOS Ships of Opportunity Underway Data from AIMS Vessel RV Cape Ferguson Trip 7148 From 05 May 2019 To 15 May 2019

'Ships of Opportunity' (SOOP) is a facility of the Australian 'Integrated Marine Observing System' (IMOS) project. This data set was collected by the SOOP sub-facility 'Sensors on Tropical Research Vessels' aboard the RV Cape Ferguson Trip 7148.

Organization: Australian Ocean Data Network
Dissolved and particulate nutrients in waters of the Whitsunday Island group, Great Barrier Reef (1988)

In February 1988, 21 hydrographic stations were sampled within the Whitsunday Island group. The cruise track was laid out to sample the widest range of conditions possible.Initial sampling at each station involved full water column profiles of temperature, salinity and underwater scalar irradiance, obtained using a CTD profiler with an attached Biospherical QSP-200 underwater irradiance sensor. This was followed by the collection of discrete water samples from four to ten depths through the water column using Niskin bottles. These samples were used for analysis of dissolved inorganic nutrients. At some stations additional water samples were collected and subsamples were used for analysis of dissolved organic nitrogen (DON), dissolved organic phosphorus (DOP), chlorophyll, particulate organic nitrogen (PON) and particulate organic phosphorus (POP). Additional information collected for each station included location, acoustic depth, sample depth, sample time, wind speed, wind direction, swell height and swell direction.
 The survey was carried out to obtain background data on concentrations of chlorophyll, organic and inorganic nitrogen, phosphorus and inorganic silicate in waters of the Whitsunday Island group. Stations were located to enable comparisons of water quality in the vicinity of anchorages (Nara Inlet) or islands with significant resort developments (Hamilton Island, West Molle Island and Hayman Island) with water sampled in the open water between islands.

Organization: Australian Ocean Data Network
Growth rate and Fast Repetition Rate fluorometry (FRRf) of phytoplankton

Ocean alkalinity enhancement (OAE) is a promising carbon removal method, but it may cause a significant perturbation of the ocean with trace metals such as Nickel (Ni). This study tested the effect of increasing Ni concentrations on phytoplankton growth and photosynthesis. The data were the growth rates of 11 phytoplankton species under different Ni concentrations (Master thesis project). The growth rates were calculated using daily fluorescence signal values measured by the fluorometer. Fv/Fm and SigmaPSII data were measured using Fast repetition rate fluorometry (FRRf). The growth rate and photo-physiological response of phytoplankton was analysed using generalised additive models (GAMs) and plotted in RStudio (R packages “mgcv” and “ggplot2”).

Tags: 95% confidence interval, Adjusted r squred, Deviance explained, Estimated degrees of freedom for the model terms, Growth rate, Maximum ST-ChlF in the dark-regulated state, Minimum ST-ChlF in the dark-regulated state, Simply a ratio of two variances, estimated residual degrees of freedom, free nickel ion concentrations, k-index, negtively log10-transforred free nickel ion concentrations, number of basis functions, pNi, re- opening of closed reaction center II (RCII), the functional absorption cross-section of photosystem II (σPSII), the maximum quantum yield, total dissolved nickel concentrations
Organization: Australian Ocean Data Network
BRUVS (TM) - Fish and Benthic survey of Southern Great Barrier Reef Marine Park Seabed Project Cruise 6 2005-10-26 to 2005-11-29

The dataset comprises 12125 individuals from 192 species of fishes, sharks, rays and sea snakes observed at around Southern Great Barrier Reef Marine Park Seabed Project Cruise 6 using 210 baited remote underwater video stations (BRUVS(TM)). 1929 images were captured from these cameras.

Approximately 3500 of the best images from all BRUVS (TM) projects are stored in a reference library.

Data recorded concern:
- classification of the habitat in the field of view (topography, sediments, benthos)
- the identity of fish and CAABCODES
- their time of arrival
- their behaviour (8 categories, including feeding on the bait)
- their maturity (adult or juvenile)
- their relative abundance (as MaxN = the maximum number visible at one time, or distinguishable at different times as separate individuals e.g. much larger/smaller, male/female)
- the time elapsed before MaxN and feeding occurs.

A custom interface has been developed by AIMS staff, using Microsoft Access, for reading and analysis of BRUVS(TM) tapes.

Organization: Australian Ocean Data Network
NESP MB Project A1 - Northern Australian hotspots for the recovery of threatened euryhaline species, 2015-2017 (CDU)

This record provides an overview of the scope and research output of the NESP Marine Biodiversity Hub project "Northern Australian hotspots for the recovery of threatened euryhaline species". For specific data outputs from this project, please see child records associated with this metadata.

Euryhaline elasmobranchs represent over half of the EPBC-listed threatened sharks and rays, with northern Australia of national importance for this threatened species community. Critical information gaps related to population status, movement, mortality, habitat use and life history have constrained implementation of recovery objectives.

The project used acoustic telemetry, molecular research, life history studies, Indigenous knowledge and education to improve understanding of threatened euryhaline sharks and rays across northern Australian rivers and estuaries. Research activities included monitoring tagged animals to estimate movement patterns, habitat use and mortality; collecting tissue samples to investigate population structure and support close-kin mark-recapture analysis; and synthesising existing Marine Biodiversity Hub research to identify biologically important areas and recovery priorities.

The project was undertaken in partnership with Indigenous organisations, communities and ranger groups to support sawfish monitoring, cultural knowledge sharing and education. The project provided information to support management, recovery planning and reassessment of river shark conservation status for Australian Government, state and territory agencies, fisheries managers, and northern Indigenous organisations.

Tags: National Environmental Science Program (NESP) Marine Biodiversity Hub, batoids, close-kin mark-recapture, marine conservation, population status, recovery planning, sawfish, sharks, threatened species
Organization: Australian Ocean Data Network
IMOS Ships of Opportunity Underway Data from AIMS Vessel RV Solander Trip 5316 From 24 May 2011 To 07 Jun 2011

'Ships of Opportunity' (SOOP) is a facility of the Australian 'Integrated Marine Observing System' (IMOS) project. This data set was collected by the SOOP sub-facility 'Sensors on Tropical Research Vessels' aboard the RV Solander Trip 5316.

Organization: Australian Ocean Data Network
Influence of offshore gas infrastructure on diet and trophic structure of predatory fish

The consequences of infrastructure removal for associated marine life have become important considerations for decisions surrounding decommissioning. A total of 189 predatory fish from 16 species were captured using fish traps. A visual assessment of diet indicated that crustaceans and fish were the most common prey groups. Results from eDNA metabarcoding of a focal set of species confirmed these results and provided additional taxonomic resolution of prey items. Furthermore, these focal species also showed differences in diets between pipeline and reference sites, with all species having equal to or greater proportions of crabs on pipelines compared to reference sites.

Organization: Australian Ocean Data Network
Dugong aerial survey observations in Northern Australian - Aggregated data product (1984 - ongoing) (NESP MaC 5.9, IMOS)

This dugong (Dugong dugon) aerial survey database compiles observations collected by James Cook University (JCU) from systematic aerial surveys conducted along the Australian coast since 1984. Each survey is represented by a unique survey identifier (eventID), with multiple occurrence records derived from individual sightings made during that survey. Surveys were undertaken across nine broad regions: Shark Bay (WA), Exmouth (including Ningaloo) (WA), Pilbara (WA), Gulf of Carpentaria (NT/QLD), Torres Strait (QLD), Northern Great Barrier Reef (QLD), Southern Great Barrier Reef (QLD), Hervey Bay (QLD), and Moreton Bay (QLD). An individual survey may cover part of a region, an entire region, or multiple regions.

This product represents an updated and enhanced version of the Dugong Aerial Survey Database, extending temporal coverage beyond earlier releases (to 2019) through the inclusion of additional surveys conducted up to 2023. Historical Dugong Data Management System records and JCU geospatial survey datasets were harmonised into a standardised, occurrence‑based format aligned with Darwin Core conventions.

The dataset has been spatially enriched with Australian Marine Regions classifications, enabling direct alignment with national marine reporting and management geographies, and includes an H3 spatial index at resolution 4 (approximately 250 km² cell area) to support efficient spatial aggregation and multi‑scale analysis. A curated set of rejected records is retained and published separately to preserve full traceability to source data and processing decisions.

Organization: Australian Ocean Data Network
Spicule Measurement For Marine Sponge Taxonomy

This dataset supports the development and validation of an AI-assisted workflow for marine sponge spicule measurement and taxonomic analysis. Sponge taxonomy relies heavily on manual spicule morphometrics, which is time consuming and difficult to scale, so the data were collected to create expert validated reference material for training and benchmarking computer vision models. The dataset includes high-resolution microscope imagery, expert annotations, segmentation outputs, and morphometric measurements of sponge spicules, including oxea and tylostyle forms. Images were generated from slide mounted sponge spicule preparations using brightfield and relief microscopy at multiple magnifications, with data collected and processed during 2025-2026 through collaboration between AIMS and University of Western Australia taxonomic specialists. The data are being interpreted using AI-based image segmentation and measurement workflows to extract spicule length, width, and statistical descriptors, which are compared against expert derived measurements to assess model performance and support taxonomic interpretation.

Organization: Australian Ocean Data Network
NESP MaC Project 5.13 - A trophic-ecology based tool to assess and manage HAB impacts on marine ecosystems (Flinders Uni, SA DEW, SA EPA)

This record provides an overview of the NESP Marine and Coastal Hub Emerging Priorities project "A trophic-ecology based tool to assess and manage HAB impacts on marine ecosystems". For specific data outputs from this project, please see child records associated with this metadata.

South Australia’s 2025 harmful algal bloom (HAB) caused mortality across multiple trophic levels, from primary producers to top predators. This highlighted the need for tools that assess reef ecosystem condition and recovery using food-web structure, not only species counts or biomass estimates.

This Emerging Priorities project will develop a trophic integrity framework for assessing subtidal reef condition across South Australia’s marine estate. The framework will support development of a Normalised Reef Status Index (NRSI) based on relative biomass across trophic levels, using biodiversity datasets from Reef Life Survey and the Australian Temperate Reef Collaboration, along with stereo-BRUV surveys and long-term habitat, plankton and water-quality monitoring.

The project will model relationships between reef condition and environmental, disturbance and management drivers, enabling assessment of the 2025 HAB and marine heatwave impacts, recovery trajectories, and areas most vulnerable to future events. It will integrate existing and new biodiversity datasets with trophic and spatial analyses to provide a science-based assessment of subtidal reef condition.

A web-based decision-support tool will be used to visualise reef condition, disturbance impacts and recovery, and to explore management options such as spatial protection, habitat restoration, fishing closures and rezoning. A technical report with management recommendations will support the SA HAB Science Program, state and Commonwealth agencies, marine park management, and public engagement.

Outputs
• Quantitative models linking trophic integrity indicators (including the NRSI) with environmental and management drivers [modelling framework]
• Spatial prediction and vulnerability maps identifying reef areas most affected by the 2025 HAB and areas most susceptible to future disturbance events [dataset]
• Interactive web-based decision-support dashboard for visualising reef condition, disturbance impacts and recovery trajectories, with scenario-testing functionality [tool]
• Final technical report [written]

Tags: Harmful Algal Bloom (HAB), National Environmental Science Program (NESP) Marine and Coastal Hub, digital dashboard, ecosystem management, impact assessment, seascape ecology, trophic ecology
Organization: Australian Ocean Data Network
NESP MaC Project 4.26 – Assessing disease incursion risk by mapping and modelling shorebird migratory behaviour in the face of global change processes

Highly pathogenic avian influenza (HPAI) is endemic in many countries along the East Asian-Australasian Flyway (EAAF). Shorebirds are noted carriers of avian influenza [1], making them likely candidates to not only fall victim to the increasingly alarming HPAI panzootic [2, 3], but also cause incursions of the virus into Australia [4]. Understanding the current and future migratory connectivity of different Australian shorebird populations within sites along their flyway is required to better predict and mitigate disease incursion risks. Such detailed knowledge will allow prediction of precise geographical pathways through which HPAI may spread through the flyway and ultimately arrive at an Australian migratory terminus. 

Due to the importance of migratory behaviours when predicting HPAI incursion risk this project will:

Aim 1: Understand how migration timing has changed in Australian shorebirds, and to what extent different shorebird populations use different sites along the flyway and within the breeding ranges
- investigate past changes in migration timing, networks, and connectivity in a set of key Australian shorebirds. Investigating changes in migration timing will show how migration behaviour changes as a function of global change processes. Predicting migration timing will enable directed disease response protocols at likely Australian arrival sites during key times. Identifying chains of wetlands along the migratory route in East Asia and the connectivity of the breeding ranges will enable more focused tracking of potential HPAI hotspots for an earlier warning sign of when (and where) HPAI may enter Australia. Furthermore, identifying migratory connectivity and how this differs between populations can tell us where Australian shorebirds are likely to contract and potentially introduce HPAI into Australia. 

Aim 2: Building a tool to predict shorebird migrations and potential virus transport into Australia under different climate-, habitat, and socio-economical change scenarios. 
- Build on the outcomes of Aim 1 by modelling shorebird migrations to build a tool to predict changes going forward, using a range of climate and socio-economic scenarios (Aim 2). Modelling migrations in this way will allow for a future-focused perspective of how we expect populations to continue responding, thus allowing disease incursion management and mitigation strategies to be created in lieu of what is to come, rather than what has already occurred. 

Planned outputs:
(i) rates of migration timing change in shorebirds (and impacts of this on demographic rates)
(ii) connectivity between sites in the flyway
(iii) dispersal of populations across the breeding range
(iv) a tool to forecast migration behaviour under future scenarios.

Tags: Marine
Organization: Australian Ocean Data Network
SOP: Measurement of phenotypic traits in the field (RRAP ECT2.1)

This is the standard operating procedure developed my the RRAP ECT 2.1 team to asses the growth, survival and colour of selectively bred coral deployed and assessed in the field. This was delivered as RRAP ECT 2.1 milestone 1.5.3-3Q2. 

In November spawning 2021, gametes from specific adult coral colonies were crossed to produce selectively bred Acropora hyacinthus (neat) juveniles. 10 families were chosen from the intra and inter-populational crosses. These juveniles were settled and then deployed onto the reef in February 2022 (Fantome, Palm Islands). Juvenile survival, growth and colour was remeasured in May 2022. The genetic sampling of remaining juveniles in May concluded this field experiment. The results of this experiment will compare survival and growth of inter-population and intra-population selectively bred corals deployed in the field, to determine whether trade-offs exist in hybrids.

Organization: Australian Ocean Data Network
Global Data on Fish Community Responses to Kelp Abundance

This global meta-analysis documents data from underwater visual surveys used to determine the effect of kelp bed disturbance and canopy density on the abundance and structure of fish communities. Spatial, temporal and ontogenetic variability of many key fish species was examined at various levels of kelp disturbance at sites spanning a global temperate distribution. Rocky reef habitats and fisheries management regimes of sites were also examined as covariates.

Tags: Kelp Ecosystem Ecology Network (KEEN), meta-analysis
Organization: Australian Ocean Data Network