AndreaBozzo/ceres-open-data-index huggingface dataset:
Serpent Project Mutineer 1 - Subsea Field Development

SERPENT - Scientific and Environmental remotely operated vehicle (ROV) Partnership using Existing iNdustrial Technology.  A highly successful mission resulted after 8 days of ROV operations.  Four 40 m video transects were completed, for megafaunal abundance, diversity and distribution in the area.  Transects were conducted at 210°, 180°, 160° and 140° from the blow-out converter (BOP). Videos will be analysed for megafaunal diversity and habitat mapping. This is a soft bottom environment in 150m water depth. On this mission large aggregations of sea urchins were discovered, along with anemones and encrusting sponges on the existing sub-sea structures, consistent with soft bottom communities. 
Nutrient selection behaviour of the sea urchin Diadema sp. was monitored, and urchins showed a clear preference for high-protein food blocks (squid-based). In caged experiments, a shift in preference from protein to kelp and seagrass was apparent. This suggests that Diadema sp. were protein deprived and were seeking to redress a nutrient imbalance by increasing their intake of protein. Having redressed this nutrient imbalance they returned to a high-carbohydrate, algae and plant-based diet. Analysis of video footage of urchin interaction indicates one urchin feeding will prevent others from mounting the feeding plates within reach of other urchins' spines. Feeding marks on the agar blocks once brought to the surface indicated which arrays were being eaten. Sea urchins were also evident adjacent to the BOP. They were obviously not deterred by drill spoil. 
We hope to return to Mutineer-Exeter in 2007 for repeated sampling.

Tags: Biosphere | Zoology | Anemones, Biosphere | Zoology | Sponges, Oceans | Marine Biology | Marine Habitat, Oceans | Marine Sediments | Sediment Characteristics, Urchins
Organization: Australian Ocean Data Network
2019-20 Honours project - Environmental Drivers of Antarctic Landfast Sea Ice Formation and Breakout

Antarctic Landfast sea ice (fast ice) is important climatologically, biologically and for logistics for short time-scale anomalies. Until recently, there hasn’t been an accurate, high-resolution fast ice extent dataset which can support an analysis on drivers of fast ice and most studies only investigate fast ice on limited regions of Antarctica in a limited time scale. There is a need to extend the spatial and temporal studying coverage to provide detailed information on the Antarctic coast over a longer period. This is the first detailed analysis to identify and quantify correlation between the environmental anomaly and fast ice anomaly mainly in the east Antarctic coast. By examining regional/local fast ice extent in in east Antarctic coast in the context of the broader and/or remote-teleconnected atmospheric circulation/properties using spatial correlation techniques, a strong correlation between NINO3 region and Lützow-Holm Bay fast ice and similar and significant correlation of regional scale factors from Lützow-Holm Bay to Mawson Coast mainly are found. The results of this thesis suggest that the pack ice, atmospheric factors and oceanic factors are important for interpreting fast ice anomalies. To identify and quantify correlation between the pack ice, temperature at 2m, wind at 10m, snow fall anomaly, sea surface temperature anomaly, ocean heat content anomaly and fast ice anomaly, backward multiple linear regression is conducted to demonstrate some predictive fast ice driver information by quantifying the correlation between different drivers and fast ice anomaly. The multiple linear regression also suggests that oceanic influences including pack ice are generally more important than atmospheric influences. Future experiments could be conducted to interpret fast ice anomalies in the context of the ocean mainly.

Tags: Concentration, Fast ice, Heat Content, Precipitation, Temperature, Wind Speed and Direction
Organization: Australian Ocean Data Network
Marine Turtles of the Gorgon Gas Development EIS/ERMP - Technical appendix C7

Barrow Island is a regionally important nesting area for green turtles and flatback turtles. Hawksbill turtles nest at low densities around the island and loggerheads have been only occasionally recorded from the island.
Green turtles nest predominantly on the sandy west coast beaches on Barrow Island in spring and summer. Hatchlings emerge from nests through summer and early autumn. While most green turtles migrate away from the area after breeding, some appear to be resident at Barrow Island, remaining near the island during the winter. The area of the proposed feed gas shore crossing at North White's Beach is not a locally important green turtle nesting site. Flacourt Bay, where the alternative pipeline shore crossing is proposed, is an important green turtle nesting habitat.
Nesting flatback turtles favour mid-east coast beaches on Barrow Island. The beaches either side of the proposed Development area at Town Point are important components of this regionally significant rookery. In the summers of 2003-2004 and 2004-2005, flatback turtle nesting densities were highest on the central east coast adjacent to Town Point (Figure 8-2). The proposed shore crossing for the domestic gas pipeline is comprised of mangroves and mudflats and is unsuitable for turtle nesting. A flatback turtle rookery has recently been identified at Back Beach, Onslow.

Tags: Environmental Impact Statement, Environmental Risk Management Plan, Flatback Turtles, Gorgan Gas Development, Green Turtles, Hawksbill Turtles, Marine Features (Australia) | Barrow Island, WA, Nesting, Turtle
Organization: Australian Ocean Data Network
WAMSI Node 3.4.2 - Characterisation of Geomorphology and Sedimentology of Ningaloo Reef

The overall aim of this project was to determine the geomorphological and sedimentary characteristics (biological and physical) of the Ningaloo Reef and shelf, and to identify evolutionary characteristics relevant to the maintenance of marine biodiversity. This included characterising reef growth history, coastal and seabed geomorphology, surficial sediment facies and their influence on the distribution of benthic habitats. This research presents an interdisciplinary study that provides an important baseline for future habitat mapping, biodiversity assessments, spatial planning, and fisheries management. The characterisation and mapping of benthic habitats based on physical parameters is central for the ongoing monitoring, management and conservation of the NMP’s inshore and offshore resources, particularly during a time of increasing anthropogenic and environmental pressures.

Tags: Land Surface | Geomorphology, Oceans | Bathymetry | Seafloor Topography, Oceans | Coastal Processes | Coral Reefs, Oceans | Marine Sediments | Sediment Grain Size
Organization: Australian Ocean Data Network
Distribution of Vitamin B12 in waters of the central Great Barrier Reef

A highly sensitive and selective method was used to estimate concentrations of cyanocobalamin (Vitamin B12) in sea water along a transect of reefs across the central portion of the Great Barrier Reef. Water samples were collected from a depth of 0.5 m along each transect (moving from reef front to reef back) at Pandora, Rib and Myrmidon Reefs. Samples were also collected from Palm Passage at a depth of 10m. Analyses were based on clinical techniques of radioimmunoassay, combining the RIA method with preconcentration of Vitamin B12 by displacement liquid chromatography on C18 SEP-PAK columns. Analyses of the column eluate by radioassay proved sensitive to B12 at femtomolar concentrations (50-2400 pg B12/L seawater). The concentrations calculated from the radioassay translated directly into units of pg B12/L and ng folate/L seawater as a consequence of the concentration procedure. Concentrations above calibration range (2400 pg B 12; 24.0 ng folate) were determined by extrapolation.
 To determine changes in Vitamin B12 concentrations of sea water along a transect of reefs across the central portion of the Great Barrier Reef.

Organization: Australian Ocean Data Network
2019 Aerial survey data of southern right whales (Eubalaena australis) off southern Australia

These aerial survey data of southern right whales (Eubalaena australis) off southern Australia were collected in August 2019. Such annual flights in winter/spring between Cape Leeuwin (Western Australia) and Ceduna (South Australia) have now been conducted over a 27-year period 1993-2019. These surveys have provided evidence of a population trend of around 6% per year, and a current (at 2014) population size of approximately 2300 of what has been regarded as the 'western' Australian right whale subpopulation. With estimated population size in the low thousands, it is presumed to be still well below carrying capacity. No trend information is available for the 'eastern' subpopulation of animals occurring around the remainder of the southern Australian Coast, to at least as far as Sydney, New South Wales and the populations size is relatively small, probably in the low hundreds. A lower than  expected 'western' count in 2015 gives weak evidence that the growth rate may be starting to show signs of  slowing, though an exponential increase remains the best description of the data. If the low 2015 count is anomalous, future counts may be expected to show an exponential increase, but if it is not, modelling growth as other than simple exponential may be useful to explore in future.

Tags: AMD, AMD/AU, CAMERAS, CEOS, CESSNA 172 SKYHAWK, CONTINENT > AUSTRALIA/NEW ZEALAND > AUSTRALIA, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/VERTEBRATES > MAMMALS > CETACEANS > BALEEN WHALE, GEOGRAPHIC REGION > POLAR, OCEAN > SOUTHERN OCEAN, Southern Right Whales, Survey
Organization: Australian Ocean Data Network
Management and Monitoring of Fish Spawning Aggregations in the West Coast Bio-Region

This project is a collaboration between the Department of Fisheries, Murdoch University and Curtin University and the University of WA. It will use the latest sonar and video technologies to study spawning aggregations of fish off the west coast, particularly samson fish, WA dhufish and pink snapper. A growing catch-and-release fishery targets large, deep-water spawning aggregations (gatherings) of samson fish near Perth and this may have implications for sustainable management.
Samson fish aggregations will also be used to examine a range of methods for studying and monitoring aggregations that may be applied to other aggregating species.
Past information has been scarce, largely due to the fact that many aggregations are of short duration and occur in remote and deep locations, making them logistically and economically difficult to study. The high catch rates and large size of fish that may arise from aggregation fishing can also provide false indications about the health of the fishery.
The area west of Rottnest Island where the samson fish aggregate appears to be an important aggregating site for other fish including mulloway, grey-banded cod, trevally and snapper. Little is known about the aggregations of these species, although they are increasingly vulnerable to fishing pressure as recreational fishing effort expands offshore.
A current investigation of the biology of trevally and mulloway in the Perth region by Murdoch University will also be enhanced by additional information about the aggregating characteristics of these species in adjacent oceanic waters.
The project will:
* Identify species that aggregate to spawn within the West Coast Bio-region and to describe (e.g. location, size, timing, nature) the aggregations of key demersal species such as snapper and dhufish.
* Investigate the biology, ecology and fishery for samson fish with emphasis on the sports fishery targeting deep water spawning aggregations west of Rottnest Island.
* Establish methods and protocols for monitoring fish aggregations.
* Review relevant information and provide advice on the impact of aggregation fishing and the management of aggregating fish species in WA (with specific advice for key species within the West Coast Bioregion).

Time: Due for completion 2007

Organization: Australian Ocean Data Network
Patterns of establishment and subsequent change in the structure of a marine epifaunal community.

Artificial substrata were used to investigate the patterns of establishment and change in the structure of a subtidal, marine epifaunal community at Portsea, Victoria from October 1975 to November 1979. Sessile invertebrate species and mobile species that significantly affected the distribution and abundance of the sessile species were the focus of the study. Experiments examining variability in recruitment and community development, species competitive ability, and the effects of predation on the epifaunal community at Portsea are outlined in the related records.

Tags: 10 000000, 11 000000, 20 000000, 22 000000, 27 500000, 28 401000, 35 000000, 37 465002, Ascidiacea, Biosphere | Aquatic Habitat | Benthic Habitat | artifical substrata | pier piling, Biosphere | Aquatic Habitat | Benthic Habitat | rocky substrata, Biosphere | Ecological Dynamics | Community Structure, Biosphere | Ecological Dynamics | Competition, Biosphere | Ecological Dynamics | Predation, Biosphere | Ecological Dynamics | Species Recruitment, Biosphere | Ecological Dynamics | Succession, Biosphere | Zoology | Invertebrates, Bryozoa, Cirripedia, Hydrozoa, Oceans | Marine Biology | Fish, Oceans | Marine Biology | Marine Invertebrates | epifauna, Penicipelta vittiger, Phyoxocephalidae, Polychaeta, Porifera, Port Phillip Bay, Portsea Pier
Organization: Australian Ocean Data Network
Ningaloo Reef Bathymetry (Tide Corrected) - April 2006

HyVista Corporation acquired hyperspectral data over the Ningaloo Marine Park area in North-West Western Australia between the 20th of April 2006 and the 2nd of May 2006.  A shallow water reflectance model (3-bottom component) was used to determine the bathymetry and benthic cover albedo by inverting reflectance data.  This was also separated into 11 blocks of data (blocks A to F) covering Ningaloo Reef.

Tags: Oceans | Bathymetry | Seafloor Topography
Organization: Australian Ocean Data Network
IMOS - Animal Tracking Facility - Best Practice Manual for SMRU CTD Satellite Relay Data Loggers

This document is the IMOS Animal Tracking Facility’s Best Practice manual for near real-time and delayed-mode processing of physical and behavioural observations collected using Sea Mammal Research Unit CTD Satellite Relay Data loggers (SMRU CTD-SRDL). The Animal Tracking Facility deploys SMRU CTD-SRDL’s on southern elephant seals (Mirounga leonina) and Weddell seals (Leptonychotes weddellii) in the Southern Ocean and on olive ridley sea turtles (Lepidochelys olivacea) and flatback sea turtles (Natator depressus) in the Timor and Arafura Seas. The data transmitted by these instrumented animals contributes to the study of ocean structure and dynamics by supplying temperature and salinity observations within the upper ocean in high latitude, shallow coastal and tropical regions that are historically under-sampled by traditional observing platforms. 
This document describes the calibration methods used by the Animal Tracking Facility prior to instrument deployment and the quality analyses/quality control (QA/QC) methods for both near real-time and delayed-mode data.

Organization: Australian Ocean Data Network
The percentage of calcium carbonate in samples taken from various depths in core GC11, located in the Capricorn Channel

A gravity core (GC11) was collected from a depth of 502 mbsl within the Capricorn Channel, southern Great Barrier Reef (GBR). The percentage of calcium carbonate in samples collected from different depths were analysed, along with other parameters, to determine changes in carbonate mineralogy and terrestrial influx. The results indicate that CaCO3% increases rapidly at the terminations, with highs during the interglacials and as low as 50% during some of the glacials. The CaCO3% highs of around 85% coincide with very low sedimentation rates of &lt;1 cm/kyr and are probably dominated by pelagic productivity.

Tags: Amount_of_calcium_carbonate, Oceans | Marine Sediments | Carbonate Sediments, Oceans | Ocean Chemistry | Carbonate, core_depth
Organization: Australian Ocean Data Network
Australian Estuaries Database - CAMRIS

CAMRIS incorporates the Australian estuarine database, which includes the National Estuaries Study (Bucher and Saenger 1989).  Attributes include location, name, climatic variables, run-off coefficients, land use, flood frequency, water quality, habitat types including seagrass/mangrove/saltmarsh, fisheries/conservation/amenity values, administration, literature and threats.
CAMRIS, standing for the Coastal and Marine Resources Information System, is a small-scale spatial analysis system developed in collaboration by several divisions of Australia's Commonwealth Scientific and Industrial Research Organisation (CSIRO), as part of the CSIRO Coastal Zone Program.  CSIRO Division of Wildlife and Ecology is the custodian of the 'coastal' subset of the Australian Resources Information System (ARIS).  Coastal ARIS became the core dataset of the CAMRIS project.  The Coastal ARIS database was developed from a coastal inventory developed by Galloway et al.  This inventory contained relatively large scale data including landform, geology, vegetation, soil, land use, climate and population information for each of 3027 3x10km sections around the coastline of mainland Australia and Tasmania, but excluding offshore islands.
NOTE for Shapefile version:
Item names in the ArcView Shapefile for download have been altered due to a 10 character fieldname limitation in the DBF file.
Estuary.shp
RUNOFF_COEF      becomes R_off_coef
MAX_TIDAL_RANGE  becomes Mx_tid_rng
SAND-MUD_AREA    becomes Sdmud_area
MANGROVE_AREA    becomes Mgrve_area
SEAGRASS_AREA    becomes Sgras_area
SALTMARSH_AREA   becomes Smrsh_area
ESTUARINE_AREA   becomes Estua_area
GALLOWAY_SECTION becomes Gallwy_sct
LANDUSE_CODE     becomes Lnduse_cde
FLOOD_REGIME     becomes Flood_rgme
MANGROVE_COVER   becomes Mgrove_cvr
SEAGRASS_COVER   becomes Sgrass_cvr
SALTMARSH_COVER  becomes Smarsh_cvr
FISH_THREAT      becomes Fsh_threat
CONS_THREAT      becomes Con_threat
AMENITY_VALUE    becomes Amenity_vl

Tags: ECOLOGY Landscape, FLORA, MARINE Estuaries, Offline Data
Organization: Australian Ocean Data Network
IMOS - Ocean Gliders - Seaglider deployment off Perth (February 2011 - March 2011)

The dataset contains temperature, salinity and biological parameters like for example dissolved oxygen and turbidity data measured by a Seaglider off Perth (Western Australia).
The Ocean Gliders Facility (formerly known as the Australian National Facility for Ocean Gliders (ANFOG)),) located at the University of Western Australia manages Seagliders to monitor the boundary currents surroundings Australia.
The variables available in this dataset are:
Temperature, salinity, conductivity, density, pressure, chromophoric dissolved oxygen matter, dissolved oxygen, fluorescence and backscatter coefficient at 660nm.

Tags: CTD (Conductivity-Temperature-Depth Profilers), Coloured Dissolved Organic Matter (CDOM), Countries | Australia, Fluorometers, Glider, IMOS Node | Bluewater and Climate, Oceans | Ocean Chemistry | Chlorophyll, Oceans | Ocean Chemistry | Oxygen, Oceans | Ocean Chemistry | Suspended Solids, Oceans | Ocean Circulation | Ocean Currents, Oceans | Ocean Optics | Fluorescence, Oceans | Ocean Optics | Turbidity, Oceans | Ocean Temperature | Water Temperature, Oceans | Salinity/density | Conductivity, Seaglider, States, Territories (Australia) | Western Australia, concentration_of_coloured_dissolved_organic_matter, fluorescence_in_sea_water, mass_concentration_of_oxygen_in_sea_water, sea_water_electrical_conductivity, sea_water_pressure, sea_water_salinity, sea_water_temperature, volumetric_backscatter_coefficient
Organization: Australian Ocean Data Network
IMOS - Ocean Gliders - Seaglider deployment in Western Australia off Perth (May 2010 - September 2010)

The dataset contains temperature, salinity and biological parameters like for example dissolved oxygen and turbidity data measured by a Seaglider in the region of Perth (Western Australia).
The Ocean Gliders Facility (formerly known as the Australian National Facility for Ocean Gliders (ANFOG)), located at the University of Western Australia manages Seagliders to monitor the boundary currents surroundings Australia.
The variables available in this dataset are:
Temperature, salinity, conductivity, density, pressure, chromophoric dissolved oxygen matter, dissolved oxygen, fluorescence and backscatter coefficient at 660nm.

Tags: CTD (Conductivity-Temperature-Depth Profilers), Coloured Dissolved Organic Matter (CDOM), Countries | Australia, Fluorometers, Glider, Oceans | Ocean Chemistry | Chlorophyll, Oceans | Ocean Chemistry | Oxygen, Oceans | Ocean Chemistry | Suspended Solids, Oceans | Ocean Circulation | Ocean Currents, Oceans | Ocean Optics | Fluorescence, Oceans | Ocean Optics | Turbidity, Oceans | Ocean Temperature | Water Temperature, Oceans | Salinity/density | Conductivity, Seaglider, States, Territories (Australia) | Western Australia, concentration_of_coloured_dissolved_organic_matter, fluorescence_in_sea_water, mass_concentration_of_oxygen_in_sea_water, sea_water_electrical_conductivity, sea_water_pressure, sea_water_salinity, sea_water_temperature, volumetric_backscatter_coefficient
Organization: Australian Ocean Data Network
IMOS - Autonomous Underwater Vehicles - AUV Iver

The IMOS Autonomous Underwater Vehicles Facility has an Autonomous Underwater Vehicle (AUV) called Iver (IMOS platform code:IVER), capable of undertaking high resolution geo-referenced survey work. This platform is a modified Ocean Server Iver2 AUV that is hand deployable off RHIBs and other small vessels in addition to being deployable off larger vessels.
This AUV has been modified for benthic imaging, including the addition of USBL and DVL for more accurate navigation and the addition of high resolution stereo cameras and strobes. The submersible is equipped with a suite of oceanographic sensors including high resolution stereo cameras (6MP each), depth sensor, Doppler Velocity Log (DVL), Compass and Ultra Short Baseline (USBL). The vehicle is controlled by an on-board PC stack which is used to log sensor information and run the vehicle's control algorithms.
The vehicle has demonstrated its capacity to collect high resolution, near bottom imagery on trajectories over smooth terrain that has been used to generate 3D meshes and ortho-mosaics.

Tags: AUV | Autonomous Underwater Vehicle, CTD (Conductivity-Temperature-Depth Profilers), Cameras | Still Cameras - underwater, Chemical Oceanography, Coloured Dissolved Organic Matter (CDOM), Current Meters/Profilers | Acoustic Doppler Current Profiler (ADCP), Data Loggers, Digital Imaging (acquisition and/or analysis), Field Surveys | Underwater Surveys, Fluorometers, IMOS Node | NSW-IMOS | New South Wales Integrated Marine Observing System, Oceans | Bathymetry | Seafloor Topography, Oceans | Bathymetry | Water Depth, Oceans | Ocean Chemistry | Carbon Dioxide, Oceans | Ocean Chemistry | Chlorophyll, Oceans | Ocean Chemistry | Nutrients, Oceans | Ocean Chemistry | Organic Matter, Oceans | Ocean Chemistry | Oxygen, Oceans | Ocean Optics | Fluorescence, Oceans | Ocean Optics | Turbidity, Oceans | Ocean Temperature | Water Temperature, Oceans | Salinity/density | Conductivity, Physical Oceanography, SONAR, Seabed Vehicles, States, Territories (Australia) | Queensland, States, Territories (Australia) | South Australia, States, Territories (Australia) | Tasmania, States, Territories (Australia) | Western Australia, Turbulence Sensors
Organization: Australian Ocean Data Network