AndreaBozzo/ceres-open-data-index huggingface dataset:
IMOS - Ocean Gliders - Slocum glider deployment in Western Australia off Two Rocks (January - February 2009)

The dataset contains temperature, salinity and biological parameters like for example dissolved oxygen and turbidity data measured by a Slocum glider in the region of Two Rocks (Western Australia).
The Ocean Gliders Facility (formerly known as the Australian National Facility for Ocean Gliders (ANFOG)), manages Slocum gliders to be deployed on the continental shelf.
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, Slocum Glider, 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
Orpheus Island Relay Pole 2

A 6m steel self supporting pole was erected on the northern side of Orpehus Island in the channel between Pelorus Island and Orpheus Island.The pole is set up as per RP1 with two MEA thermistors located at 50m and 100m from the pole and an SBE39 located 100m from the pole and an SBE37 located 200m from the pole in the deeper water.
 The project looks to deploy sensor networks at seven sites along the Great Barrier Reef to measure a range of physical parameters at a range of scales. The project will install communications, data and platform infrastructure that will support future sensor work looking at biological and chemical parameters.
 The FAIMMS Project is part of the GBROOS or Great Barrier Reef Ocean Observing System project which in turn is part of the Australian Integrated Marine Observing System or IMOS.

Organization: Australian Ocean Data Network
Circumpolar ROMS climatology

Model output from a circumpolar realisation of the Regional Ocean Modelling System (ROMS). Model was run at a horizontal resolution of 1/4 degree and 31 vertical levels. Spatial domain was circumpolar out to 30 degrees South. Forcing comes from prescribed salt and heat fluxes based on a derived climatology from Tamura et al (2008). For open water regions the Tamura data is blended with open-water heat, salt and surface stress fluxes from a monthly NCEP2 climatology.

Organization: Australian Ocean Data Network
BRUVS deployments in Timor Sea Banks and Shoals (Montara 2)

Stereo Baited Remote Underwater Video Stations (BRUVS) were successfully deployed and retrieved at each of the 9 banks and shoals (Baracuda East and West Shoals, Sheldon Shoal, Wave Governor Bank, Heywood Shoal, Echuca Shoal, Goeree Shoal, Eugene McDermott Shoal, Vulcan Shoal). Deployments were restricted to 250 m. In general 24 stereo BRUVS were deployed at each shoal however, given its smaller size, only 16 BRUVS units could be deployed Wave Governor Bank and still maintain a spacing of &gt;250 m. Additional BRUVS deployments were made at Heywood Shoal, the largest of the shoals surveyed. Deep water BRUVS were additionly collected on the edge Barracuda East shoal in depths &gt;50m.
 This data was collected as part of the S5 Offshore Banks Assessment Survey component of the Monitoring Plan for the Montara Well Release Timor Sea as agreed between PTTEP Australasia and the Department of the Environment, Water, Heritage and the Arts , 9 October 2009 and was undertaken between 15 March and 17 April 2011.

Organization: Australian Ocean Data Network
Aquaculture Nutrition

This project coordinates, manages and implements research projects that address nutritional, environmental impact and commodity development issues limiting the development of aquaculture or enhancement of grain or oilseed industries in Western Australia. To date, this project has in 2002-2003 resulted in the development of three major externally funded projects;
(a) the development of the potential of key Western Australian produced commodities, such as lupin and canola meals, for inclusion the in aquaculture feeds, both domestically and internationally;
(b) the development of environmentally sustainable barramundi production in the Kimberley with key activities of improving feed design and management and characterisation of the Lake Argyle environment with a view to developing cage-culture carrying capacity estimates; and
* a third project has objectives of improving feeds and feeding technology for freshwater aquaculture species, with key activities in Vietnam and Cambodia, with local components on barramundi in the Kimberley. Also included within this project are two PhD projects, one on the development of "eco-diets" for pink snapper, with a second examining the benthic impacts associated with sea-cage farming in coastal ecosystems.

Knowledge gained is anticipated to be available directly to industry to allow rapid adoption and practical development.
Time : ongoing.

Organization: Australian Ocean Data Network
SAIMOS - Biological and Flow Cytometry data collected from CTD stations in South Australia, in July 2010

Flow cytometry data was collected in July 2010, in waters off South Australia. 
The general purpose of the study is to be able to establish background knowledge on the ecosystem on the continental shelf of South Australia and the impact of upwelling/saline outflow events on microbial communities to ultimately develop a biogeochemical model of the region. Sampling was carried out during cruises conducted on board the RV Ngerin as part of the Southern Australian Integrated Marine System (SAIMOS). During each cruise, the physical, chemical and biological properties of the chlorophyll fluorescence maximum (FM) layer were investigated. Flow cytometry data has been collected for picophytoplankton, bacteria and viruses.
Six main stations have been sampled over the course of the study, five are located on the 100 m isobath, i.e. RS (35.508S, 136.278E), B2 (35.418S, 136.148E), B3 (35.258S, 136.048E), B4 (35.168S, 135.418E) and B5 (35.008S, 135.198E), and one from an offshore station (B1; 36.188S, 136.178E) located southwest of Kangaroo Island. Note that combining the distances between stations (14–25 nautical miles), the average component of the current velocity at middepth along the shelf (0.01 m s21) and the average speed of the vessel (i.e. 9 knots) indicate that different water masses were sampled at each station. Additional samples have on occasion been collected from the National Reference Station (NRS) at Kangaroo Island (35.832S, 136.447E) and the SA Spencer Gulf Mouth Mooring (SAM8SG, 35.25S, 136.690E), where the saline outflow occurs.

Tags: Biosphere | Microbiota | Bacteria, Biosphere | Vegetation | Phytoplankton, IMOS Node | SA-IMOS | Southern Australian Integrated Marine Observing System, Niskin Bottles, Oceans | Bathymetry | Water Depth, Oceans | Ocean Chemistry | Chlorophyll, Oceans | Ocean Chemistry | Inorganic Matter, Oceans | Ocean Chemistry | Nitrogen, Oceans | Ocean Chemistry | Organic Matter, Oceans | Ocean Chemistry | Phosphate, Oceans | Ocean Chemistry | Silicate, Oceans | Ocean Chemistry | Suspended Solids, Oceans | Ocean Temperature | Sea Surface Temperature, Oceans | Ocean Winds | Surface Winds, Picophytoplankton, Virus, amount_of_bacteria_in_sea_water, amount_of_phytoplankton_in_sea_water, amount_of_picophytoplankton_in_sea_water, amount_of_virus_in_sea_water, concentration_of_chlorophyll_in_sea_water, depth, depth_of_chlorophyll_maximum, latitude, longitude, mass_concentration_of_particulate_inorganic_matter_in_sea_water, mass_concentration_of_particulate_organic_matter_in_sea_water, mass_concentration_of_suspended_matter_in_sea_water, mole_concentration_of_nitrogen_in_ammonium_in_sea_water, mole_concentration_of_nitrogen_in_nitrate_and_nitrite_in_sea_water, mole_concentration_of_phosphorus_in_phosphate_in_sea_water, mole_concentration_of_silicate_in_sea_water, sea_surface_temperature, wind_from_direction, wind_speed
Organization: Australian Ocean Data Network
Australian Heritage Database

The Australian Heritage Database contains information about more than 20,000 natural, historic and Indigenous places. The database includes: 
* places in the World Heritage List;
* places in the National Heritage List;
* places in the Commonwealth Heritage list;
* places in the Register of the National Estate;
* places in the List of Overseas Places of Historic Significance to Australia;
* places under consideration, or that may have been considered for, any one of these lists.

Organization: Australian Ocean Data Network
IMOS - Autonomous Underwater Vehicles - SIRIUS, CAMPAIGN: Great Barrier Reef, SEPTEMBER 2007

Autonomous Underwater Vehicles (AUV) Sirius (IMOS Platform code: SIRIUS) was part of a three week research cruise in September 2007 aboard the R/V Southern Surveyor documenting drowned shelf edge reefs at multiple sites in four areas along the Great Barrier Reef.  
Sirius documented relic reefs up to 20k years old formed during previous ice ages when sea levels were up to 100m lower than today. Broad scale bathymetric mapping was used to confirm if the reefs are consistent geomorphic features and to define patterns of past reef growth. 
Sites for targeted dredging, sub-bottom profiling and AUV imaging were then selected for detailed study of particular features.  
All activities were undertaken during a 21-day cruise aboard the R/V Southern Surveyor, Australia's Marine National Facility operated by CSIRO. 
The study of these structures may yield insights regarding potential future sea level changes and their potential impact on sensitive reef areas such as the GBR.

Tags: AUV | Autonomous Underwater Vehicle, CTD (Conductivity-Temperature-Depth Profilers), Cameras | Still Cameras - underwater, Countries | Australia, Current Meters/Profilers | Acoustic Doppler Current Profiler (ADCP), Data Loggers, Digital Imaging (acquisition and/or analysis), Field Surveys | Underwater Surveys, Fluorometers, Global / Oceans | Pacific Ocean, Marine Features (Australia) | Great Barrier Reef, QLD, Oceans | Bathymetry | Seafloor Topography, Oceans | Bathymetry | Water Depth, Oceans | Ocean Chemistry | Chlorophyll, 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, Regional Seas | Coral Sea, SONAR, Seabed Vehicles, States, Territories (Australia) | Queensland, Turbulence Sensors
Organization: Australian Ocean Data Network
Pollution markers at ecological monitoring sites (NESP MB C2)

Investigations of the impact of sewage and heavy metal inputs on inshore rocky reef communities have been limited to date because the scale of information on levels of pollutants has been much broader than the span of transects at sites investigated. As a consequence, analyses have been confounded by poor information on the variety of stressors operating at any site. Finer resolution data on pollutants are needed.
To address this deficiency, the influence of sewage, heavy metals and other pollutants were assessed by collecting sediment samples at Reef Life Survey ecological monitoring sites and measuring a range of associated markers. This includes basic biogeochemical information (pH, turbidity, total phosphate, TKN, total organic carbon), stable isotopes (delta15N, delta13C), heavy metal concentrations, hydrocarbon concentrations.

Tags: % of 1.2-Dichloroethane-D4 in total phenolic hydrocarbons (by volume) / BTEX surrogate, % of 4-Bromofluorobenzene in total phenolic hydrocarbons (by volume) / BTEX surrogate, % of Toluene-D8 in total phenolic hydrocarbons (by volume) / BTEX surrogate, C:N molar ratio of kelp, Concentration of antimony in sediment, Concentration of arsenic in sediment, Concentration of cadmium in sediment, Concentration of chromium in sediment, Concentration of cobalt in sediment, Concentration of copper in sediment, Concentration of iron in sediment, Concentration of lead in sediment, Concentration of manganese in sediment, Concentration of mercury in sediment, Concentration of nickel in sediment, Concentration of nitrogen in sediment, Concentration of phosphorus in sediment, Concentration of selenium in sediment, Concentration of silver in sediment, Concentration of total organic carbon in sediment, Concentration of vanadium in sediment, Concentration of zinc in sediment, Heavy metals, Microplastics, Number of microplastic filament items, Number of microplastic particle items, Organic pollution, Pollution, Sediment Particle Size 0.063mm (% by volume), Sediment Particle Size 0.125mm (% by volume), Sediment Particle Size 0.25mm (% by volume), Sediment Particle Size 0.5mm (% by volume), Sediment Particle Size 1mm (% by volume), Sediment Particle Size 2mm (% by volume), Sediment Particle Size 4mm (% by volume), Sediment Particle Size <0.063mm (% by volume), Sediment sample volume, Total number of microplastic items, Wave Exposure (after Hill et al 2010), d13C of kelp relative to VPDB, d15N of kelp relative to air, d15N of sediment relative to air
Organization: Australian Ocean Data Network
IMOS - National Mooring Network - South Australia (SA) Deep Slope Mooring (SAM1DS)

The SA Deep Slope Mooring (IMOS platform code: SAM1DS) is a discontinued South Australian regional mooring. The data available from this mooring (10/12/08 - 4/06/09) was designed to monitor particular oceanographic phenomena in coastal ocean waters. The mooring is located at Latitude:-36.52, Longitude:136.24.

Tags: Biosphere | Microbiota | Plankton, Buoys | Moored Buoys, CTD (Conductivity-Temperature-Depth Profilers), Current Meters/Profilers | Acoustic Doppler Current Profiler (ADCP), Fluorometers, IMOS Platform | SAM1DS | Deep Slope Mooring (M1), Oceans | Bathymetry | Water Depth, Oceans | Ocean Chemistry | Alkalinity, Oceans | Ocean Chemistry | Carbon Dioxide, Oceans | Ocean Chemistry | Inorganic Carbon, Oceans | Ocean Chemistry | Nutrients, Oceans | Ocean Chemistry | Oxygen, Oceans | Ocean Circulation | Ocean Currents, Oceans | Ocean Optics | Fluorescence, Oceans | Ocean Optics | Photosynthetically Active Radiation, Oceans | Ocean Optics | Turbidity, Oceans | Ocean Temperature | Water Temperature, Oceans | Salinity/density | Conductivity
Organization: Australian Ocean Data Network
WAMSI Node 6.2 - The Impact of tides and internal waves on offshore engineering - field measurement program - Ningaloo / Tantabiddi - 75m

The oceanographic mooring instrument was deployed from 10th November 2009 to 4th January 2010, on a mooring located at Ningaloo off Tantabiddi Beach in 75 m of water.  
Temperature, velocity and conductivity were measured.
It involved the deployment of  Seabird temperature sensors (SBE39), Seabird conductivity-temperature-pressure sensor (SBE 37-MSP), Nortek Acoustic Doppler Velocity meters (ADV) and an acoustic Doppler current profiler (ADCP).
Measurements were made between 15 metres and 72 metres below Mean Sea Level.

Tags: Modelling, Oceans | Ocean Circulation | Ocean Currents, Oceans | Ocean Temperature | Water Temperature, Oceans | Ocean Waves | Internal Waves, Oceans | Tides | Tidal Currents, Oceans | Water Quality | Conductivity, sea_water_electrical_conductivity, sea_water_speed, sea_water_temperature
Organization: Australian Ocean Data Network
The economic payoffs from marine reserves: resource rents in a stochastic environment: WORKING PAPER

This record describes, and links to a working paper produced through the Crawford School of Economics and Government at The Australian National University in Canberra.

The paper analyses the economic payoffs from marine reserves using a stochastic optimal control model. The results show that even if the reserve and harvested populations face the same negative shocks, harvesting is optimal, the population is persistent and with no uncertainty over current stock size, a reserve can increase resource rents. Using actual fishery data we demonstrate that the payoffs from a reserve, and also optimum reserve size, increase the larger is the magnitude of the negative shock, the greater its frequency, and the larger its relative impact on the harvested population.

Tags: Agricultural and Natural Resource Economics; Environmental and Ecological Economics | Renewable Reso, Biosphere | Ecological Dynamics | Population Dynamics, C61, D81, Marine Reserves, Mathematical and Quantitative Methods | Mathematical Methods and Programming | Optimization Techniqu, Microeconomics | Information, Knowledge, and Uncertainty | Criteria for Decision-Making under Risk a, Optimal control, Q20, Resource rents, Stochastic shocks
Organization: Australian Ocean Data Network
'Weather at Home' project data

'Weather@home ANZ' is a global citizen science distributed computing project being run as part of the Oxford-based 'weather@home' project, which is part of 'climateprediction.net'. In this experiment, a detailed limited area (regional) climate model is embedded within the less detailed 'driving' global model. This higher-resolution regional model is able to tell us in unprecedented detail about potential changes to patterns of weather as climate changes. In the initial 'weather@home' experiment launched in 2010, the project team released this regional modelling capability for three regions: Europe, Southern Africa and the Western USA. This capability has been extended to other regions around the world and the first such new region to be developed was the Australasian region encompassing Australia, New Zealand and surrounding areas, which was launched to the public in 2014. This particular part of the project - 'weatherathome ANZ' - has received support from the University of Oxford (U.K.), the U.K. Met. Office, the Universities of Melbourne and Tasmania (Australia), the Tasmanian Partnership for Advanced Computing and the New Zealand National Institute for Water and Atmospheric Research (NIWA). 'weather@home' has also been supported by Microsoft Research.

Organization: Australian Ocean Data Network
Water current readings at the 'Red' mooring in the South Central area of Jervis Bay: (Winter) Deployment 1 (10/07/90 to 30/08/90)

A current meter mooring was deployed in the south central section of Jervis Bay between 10/07/90 and 30/08/90. This 'Red' mooring (35.0872 S, 150.7333 E) held three S4 Interocean current meters at various depths (18.5m, 10.5m and 6.5m). 
Each of these current meters provided two datasets. In the first, the meter integrates the signals over 2 minutes every 10 minutes, providing 10 min sample readings. The second decimated the samples using a running mean to provide hourly intervals.  
The data provided in all these datasets includes the eastern and northern tidal components, speed, direction and temperature. The datasets providing the 10 minute sample values also give depth and salinity readings.
Unfortunately two datasets are missing from this collection: The decimated hourly intervals for the meter at 6.5m have not been located, as neither have the 10min sample readings for the meter at 10.5m
This is one of four child records that relate to the parent, 84d67460-2ae4-11dd-a735-00188b4c0af8. A pdf outlining the structure and hierarchy of all metadata records relating to this project is available to download through this record. Also available is a pdf of a published working paper documenting this experiment and the results.

Tags: Oceans | Ocean Circulation | Ocean Currents, Oceans | Ocean Temperature | Water Temperature, Oceans | Tides | Tidal Currents, date, depth, direction_of_sea_water_velocity, eastward_sea_water_velocity, latitude, longitude, northward_sea_water_velocity, sea_water_density, sea_water_salinity, sea_water_speed, sea_water_temperature, time
Organization: Australian Ocean Data Network
Risk of extinction of benthic foraminifera due to ocean acidification in Milne Bay Province, Papua New Guinea

This research was undertaken to investigate changes in assemblages of tropical benthic foraminifera along natural CO2 gradients at CO2 seeps in Milne Bay Province, Papua New Guinea.
Samples were collected during trips taken to seeps sites in August 2010 and April 2011. Locations included three seeps at Esa&rsquo;Ala, Upa-Upasina, Dobu Island and as well as control sites at each location. 
50 sediment samples were collected at various distances from the seeps, at depths of 4 to 15 meters.  At each site, three haphazard samples were taken of the top 1cm of sediment, and pooled into one sample. Sediment was analysed for total carbon and nitrogen content, as well as arsenic concentrations.
Foraminifera were collected from the subsamples until 200 specimens per sample were obtained. For samples collected near the seep sites, this yield could not be obtained and all available sediment was searched. Foraminiferal taxa and abundances were determined for total density and diversity. A subsample of foraminifera was observed via Scanning Electron Microscopy (SEM) to identify signs of corrosion.
Temperature loggers were deployed at each site from April 2011 to April 2012. Seawater samples were collected in May and December 2012, and analysed for Arsenic and heavy metal pollutants. 
Relationships between sediment chemistry variables, and foraminiferal total density and diversity, and density and diversity of individual groups were determined through linear models. Further methods of analysis included distance based redundancy and single factor permutational multivariate analysis of variance for patterns in assemblage composition and location, and significance of differences.

Organization: Australian Ocean Data Network
Spencer Gulf marine ecology: biological and physico-chemical habitat characteristics for aquaculture management planning

Sampling data collected during 2002 on water quality, sediment composition and benthic habitats at a range of sites previously considered for aquaculture in the Spencer Gulf,  South Australia.

Tags: Agriculture | Agricultural Aquatic Sciences | Aquaculture, Biosphere | Aquatic Habitat | Benthic Habitat, Cameras | Video Cameras - underwater, Dredges, Global/Oceans | Southern Ocean/ Australia extension, Marine Features (Australia) | Spencer Gulf, SA, Oceans | Marine Biology | Marine Plants, Oceans | Marine Sediments | Sediment Composition, Oceans | Marine Sediments | Sediment Grain Size, Oceans | Ocean Chemistry | Ammonia, Oceans | Ocean Chemistry | Carbonate, Oceans | Ocean Chemistry | Nitrate, Oceans | Ocean Chemistry | Nitrite, Oceans | Ocean Chemistry | Organic Matter, Oceans | Ocean Chemistry | Oxygen, Oceans | Ocean Chemistry | Phosphate, Oceans | Ocean Temperature | Water Temperature, Oceans | Water Quality | Contaminants, Oceans | Water Quality | Turbidity, Water Column Samplers, amount_of_calcium_carbonate_in_sea_water, count, coverage, mass_concentration_of_ammonia_in_sea_water, mass_concentration_of_nitrate_in_sea_water, mass_concentration_of_nitrite_in_sea_water, mass_concentration_of_oxygen_in_sea_water, mass_concentrations_of_total_dissolved_solids_in_sea_water, pH, sea_water_electrical_conductivity, sea_water_salinity, sea_water_temperature, total_phosphorus_in _sea_water, turbidity
Organization: Australian Ocean Data Network