AndreaBozzo/ceres-open-data-index huggingface dataset:
NESP TWQ Project 2.1.8 - Improved water quality outcomes from on-farm nitrogen management, 2016-2018 (UQ)

The sugar industry occupies 350,000ha in Reef catchments, applied 58,000t of nitrogen (N) fertilizer in 2014 and is a major contributor of dissolved inorganic nitrogen (DIN) to Great Barrier Reef receiving waters. There are many potential mechanisms for reducing on-farm N- usage. However, the comprehensive review of N use in sugarcane (SRA/DoE 2014) identified widespread over-use of N fertilizer and recommended adopting production unit yield potential (PUYP) combined with enhanced efficiency fertilizers (EEFs) to reduce ’surplus N’ (where applied N&gt;crop requirements). This project will combine with existing farm trials at identified N loss ‘hot spots’ to test PUYP as the basis for determining fertilizer N rates and compare EEFs with standard N fertilizers for minimizing N losses, and to examine the water quality benefits that derive from such practice changes. Productivity, economic and environmental indicators will validate these strategies for reducing surplus N and produce recommendations for enhanced BMP’s.

Tags: National Environmental Science Programme Tropical Water Quality (NESP TWQ) hub, marine
Organization: Australian Ocean Data Network
Background quality of the coastal marine waters of the North West Shelf, Western Australia.

A sediment quality survey was undertaken at six locations in the marine waters off the Pilbara coast to determine concentrations of a range of selected metal and organic chemicals under natural background conditions. The suite of chemicals measured included arsenic, cadmium, chromium, cobalt, copper, lead, mercury, nickel, selenium, silver, vanadium, zinc, butyltin compounds, total petroleum hydrocarbons, BTEX chemicals, polycyclic aromatic hydrocarbons, organochlorine and organophosphate pesticides and PCBs. The work was undertaken to provide a baseline for evaluating anthropogenic changes or trends in sediment quality around regional centers of development (eg. Ports) and to ascertain the applicability the nationally recommended sediment quality guidelines from the Australian and New Zealand Guidelines for Fresh and Marine Water Quality (ANZECC &amp; ARMCANZ, 2000) to the region.

Tags: Coastal Cities/Towns (Australia) | Onslow, WA, Coastal Cities/Towns (Australia) | Port Hedland WA, Marine Features (Australia) | Australian North West Shelf, WA, Marine Features (Australia) | Dampier Archipelago, WA, Marine Features (Australia) | Exmouth Gulf, WA, Marine Features (Australia) | Pilbara Coast, WA, Oceans | Marine Sediments | Metals, Oceans | Marine Sediments | Organic Chemicals, Oceans | Marine Sediments | Sediment Composition, Sediment Quality Monitoring
Organization: Australian Ocean Data Network
Ningaloo Sponge Catalogue

Sponge species identification sheets that follow John Hooper's mud map system (Hooper &amp; Ekins 2004) have been used to create a catalogue, but instead of having one sheet per species, one sheet per specimen lot is provided, allowing for comparison between replicate specimens. The sheets were combined in an interactive PDF portfolio that can be key-word searched (any word occurring in the documents), and which is linked to a database containing all raw images available for the collection (specimens, sections, spicules)
 The Carnarvon Shelf sponge collection was obtained as part of the Surrogates Program of the Commonwealth Environmental Research Facility (CERF) Marine Biodiversity Hub, which aimed to identify physical factors as surrogates for biodiversity patterns, i.e. mapping of the sea floor with multibeam technology, underwater photography and various sampling programs, collecting data along the same transects as sponge specimens were obtained, for later correlation.In Aug/Sept 2008, a 34 day collaborative survey between the Australian Institute of Marine Science (AIMS), Geoscience Australia (GA), and the Western Australian Museum (WAM) was conducted on the AIMS vessel RV Solander to the Carnarvon Shelf in the NW of Australia. Habitats and benthos were sampled in a stratified design, and over 800 km2 of seabed bathymetry was mapped at high resolution, with approximately 220 epibenthic sled samples collected and pre-sorted on board.
 A taxonomic workshop was held at AIMS in Perth during February, 2010. The following sponge experts kindly participated and identified specimens for respective taxa over a period of five days of intensive work: Belinda Alvarez (Halichondrida; Museum and Art Gallery of the Northern Territory), Chris Battershill (Astrophorida; AIMS), Jane Fromont (Haplosclerida; WAM), Lisa Goudie (Poecilosclerida; sponge consultant, Melbourne), Oliver Gomez (all small groups present and Haplosclerida; WAM), Andrzej Pisera (Lithistida and Astrophorida; Polish Academy of Science), Shirley Sorokin (Hadromerida; South Australian Research and Development Institute, Aquatic Sciences), Patricia Sutcliffe (Dictyoceratida; Queensland Museum).

Organization: Australian Ocean Data Network
IMOS - Ocean Gliders - Seaglider deployment along the coast of New South Wales (October - December 2009)

The dataset contains temperature, salinity and biological parameters like for example dissolved oxygen and turbidity data measured by a Seaglider along the coast of New South Wales.
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) | New South Wales, 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
WAMSI Node 6.3 - Ocean Gliders - Western Australian Integrated Marine Observation System (WAIMOS)

Australian National Ocean Glider Facility (ANFOG) has Slocum gliders (operate at max. depth of 200m and max. endurance of 30 days) and Seagliders (operate max. depth of 1000m and max. endurance of 6 months).  Within WAIMOS, the operational costs of the deployment and recovery of these ocean gliders was not included in the original WAIMOS investment and this project provided funding for this purpose.  
Both the Seaglider and Slocum glider measured temperature, salinity, dissolved oxygen, fluorescence, turbidity and CDOM data.  The Seaglider will take measurements from the West Australian shelf and slope waters between Dampier and Fremantle while the Slocum glider will take measurements from Two Rocks along the SRFME transect a return via the Perth Canyon.

Tags: Oceans | Bathymetry | Water Depth, Oceans | Ocean Chemistry | Chlorophyll, Oceans | Ocean Chemistry | Oxygen, Oceans | Ocean Circulation | Ocean Currents, Oceans | Ocean Optics | Fluorescence, Oceans | Ocean Optics | Turbidity, Oceans | Ocean Temperature | Water Temperature, Oceans | Salinity/density | Conductivity, Oceans | Salinity/density | Salinity
Organization: Australian Ocean Data Network
Manly Hydraulics Laboratory - Batemans Bay Offshore Wave Data Buoy (WAVEBAB)

This is a metadata record for the Batemans Bay offshore wave data buoy (station code WAVEBAB) operated by Manly Hydraulics Laboratory (MHL), NSW Office of Environment and Heritage (OEH). The buoy is moored off Batemans Bay at a water depth of approximately 75m.
This metadata record includes a down-loadable .pdf summary document which includes a map with numbered deployment locations and a listing of deployment number, location, water depth and deployment period.
Data from May 1986 to February 2001 was gathered by the Waverider system developed by the Dutch company, Datawell. The Waverider system uses an accelerometer mounted in a loose tethered buoy (0.7 or 0.9m in diameter) to measure the vertical accelerations of the buoy as it moves with the water surface. The accelerations are integrated twice within the buoy and the displacement signal so obtained is then transmitted to a shore station where it is processed to provide wave data statistics.
In February 2001, the station was upgraded with a Datawell Directional Waverider buoy. The Directional Waverider buoy utilises a heave-pitch-roll sensor, two fixed X and Y accelerometers and a three axis fluxgate compass to measure both vertical and horizontal motion. An on-board processor converts the buoy motion to three orthogonal (vertical, north-south, east-west) translation signals that are transmitted to the shore station. The directional spectrum is also routinely transmitted to the receiving station for further processing. This buoy also collects sea surface temperature (SST) data from thermistors that are mounted inside the hull of the buoys, at the base of the buoy about 0.5m below the water surface. The wave and SST data are stored on the receiving station PC before routine transfer to Manly Hydraulics Laboratory via email.

Tags: Oceans | Ocean Temperature | Sea Surface Temperature, Oceans | Ocean Waves | Significant Wave Height, Oceans | Ocean Waves | Wave Period, Oceans | Ocean Waves | Wave Spectra, Oceans | Ocean Waves | Wave Speed/direction, sea_surface_wave_from_direction, sea_surface_wave_maximum_wave_height, sea_surface_wave_mean_crest_period, sea_surface_wave_mean_wave_height, sea_surface_wave_mean_wave_height_of_top_one_tenth, sea_surface_wave_period_at_second_largest_peak_of_variance_spectral_density, sea_surface_wave_period_at_variance_spectral_density_maximum, sea_surface_wave_root_mean_square_amplitude_from_variance_spectral_density, sea_surface_wave_root_mean_square_wave_height, sea_surface_wave_significant_height, sea_surface_wave_significant_wave_period, sea_surface_wave_variance_spectral_density_zeroth_frequency_moment, sea_surface_wave_zero_upcrossing_period, sea_water_temperature
Organization: Australian Ocean Data Network
IMOS - Ocean Gliders - Slocum glider deployment off Yamba (New South Wales) (June - July 2012)

The dataset contains temperature, salinity and biological parameters like for example dissolved oxygen and turbidity data measured by a Slocum glider from Yamba (New South Wales) down the coast.
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) | New South Wales, 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
Ningaloo Cluster Project 3: Social and economic assessment of tourism along the Ningaloo coast: a dynamic modelling approach

The project will deliver a dynamic model of Ningaloo incorporating socio-economic, and load implications of tourism that can be integrated with an ecological model of the region. The study will involve the collection and processing of socio economic data from tourists and the host communities of Exmouth, Coral Bay and Carnarvon.

Organization: Australian Ocean Data Network
Geographic variation in distributions and abundance of coral reef fishes

This study documents large scale geographic variations in the distribution and abundance of coral reef fishes on outer reef slopes (surface to 13m depth). Transects were conducted by 45 minute scuba swims recording the abundance (log 5 abundance) of species of pomacentrids, chaetodontids, acanthurids, scarids and selected species of labrids, siganids and caesionids (cf Williams 1982).
Data were recorded at eight latitudes across the breadth of the Great Barrier Reef (transects perpendicular to shore and approximately centred on 11.5S (Far North), 14.7S (Lizard Is), 16.7S (Cairns), 18.5S (Townsville),19.7S (Whitsundays), 21.5S ( Pompeys), 22.0S (Swains), 23.5S (Capricorn-Bunkers) plus four reefs in the Coral Sea at 13.9S (Osprey), 15.5S (Bougainville), 16.5S (Holmes) and 17.8S (Flinders Reefs). Elizabeth and Middleton Reefs (Tasman Sea), and Scott and Seringapatam Reefs and Rowley Shoals (northern WA). Similar data were also collected in at Vanuatu (13.0S to 21.0S) and in French Polynesia (Moorea, Mataiva). Observations were obtained in different areas between January 1980 and December 1988 with the exception of the West Australian reefs (1993).
This study describes the observations of patterns and processes in distribution and abundance of fishes within reefs, between zones and among species. The structure of fish communities across the continental shelf and the distribution of reef fishes in a wide range of spatial scales and across regional areas.

Organization: Australian Ocean Data Network
UK Met Office FOAM1 Analysis - Forcing dataset (for MARVL)

FOAM1-AN is an archive of data from the operational UKMet Office global ocean model, and includes daily analysis (representing daily means) fields of velocity, temperature, salinity, and sea-level on a 0.25 degree grid for the entire globe. FOAM1-AN data are archived from analyses that combine model fields with near-real-time observations.
This is purely a description of the forcing dataset used within the MARine Virtual Laboratory (MARVL).

Tags: Oceans | Ocean Circulation | Ocean Currents, Oceans | Ocean Temperature | Water Temperature, Oceans | Salinity/density | Salinity, Oceans | Sea Surface Height | Sea Surface Height
Organization: Australian Ocean Data Network
SAIMOS - Biological and Flow Cytometry data collected from CTD stations in South Australia, in September 2015

Flow cytometry data was collected in September 2015, 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 (DCM) 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), SAM2CP/B4 (35.168S, 135.418E) and SAM5CB/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_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
Future Reef MAP - September 2013 (Northbound)

Data were collected as part of the FutureReef MAP project, a three-year project designed to monitor ocean chemistry along the entire length of the Great Barrier Reef. The Future Reef MAP project is funded by Rio Tinto Alcan and administered by the Great Barrier Reef Foundation, with an equal co-investment by CSIRO. The project is the first large-scale CO2 observing system established on the Great Barrier Reef using the Rio Tinto ship, RTM Wakmatha. The research is targeted at providing information on the CO2 uptake and the controls on ocean acidification change in the region. It is providing foundation data needed to assess the vulnerability of the GBR reefs to ocean acidification. This dataset contains quality controlled underway measurements of the fugacity of CO2, atmospheric pressure, and sea surface temperature and salinity. The data management and distribution of these data were supported by the CSIRO Carbon Collaboration Cluster and the Australian Coastal Ecosystem Facility.

Organization: Australian Ocean Data Network
Carbon cycling in mangrove forests in Sawi Bay, Thailand

Measurements of above and below ground biomass and primary productivity of 4 mangrove forests (aged 3-yrs old (n=2), 5-yrs and 25-yrs) in Sawi Bay, Southern Thailand. Below ground root (live and dead) biomass measurements were made in October 1999. Above ground biomass and primary production estimates were made in April 2000. Measurements made on species identification, basal area, height at breast height were used to calculate stem density, which was in turn used to estimate biomass (t ha-1). Branch biomass was also calculated. Net canopy production was estimated using light interception method, using measurements of light readings to first estimate a leaf area index.Nutrients, light levels, community pelagic respiration, and phytoplankton primary production rates were estimated for Sawi Bay. Organic carbon and dissolved and particulate nutrient concentrations and fluxes from three mangrove lined creeks flowing in to Sawi Bay were measured.An organic carbon mass balance was constructed for the entire Sawi Bay based on the data collected and described above.On the basis of soil organic carbon deposition, accumulation, mineralisation and burial measurements in mangrove forests of Sawi Bay, these sites accumulated approx. 60% of the organic carbon input and are therefore storage sites of carbon.Accumulation, transformation and availability of sediment nitrogen in 4 mangrove forests of different age and type in Sawi Bay, Southern Thailand. Samples were taken during the dry (April 1999) and the wet (October 1999) monsoon seasons.Forest characteristics recorded were: type (Rhizophora apiculata or Ceriops decandra); age (3, 5, 25 years), sediment type; % tidal inundations per month; % soil total carbonMeasurements were made on sediment concentrations of ammonium, nitrite, nitrate, total nitrogen and carbon content. Measurements were also made on the total nitrogen and total carbon content of green leaves. Rainwater was analysed for dissolved nitrogen species.Soil samples were analysed for fluxes of ammonium and dissolved organic nitrogen (DON) across the sediment-water interface. Net ammonium production was estimated using a core incubation method, and the rate of nitrogen fixation was estimated using the acetylene technique, and denitrification was measured using the direct gas technique.Partitioning and storage of mineral nutrients and trace elements were examined in tree components and soils of Rhizophora apiculata forests of Sawi Bay.
 To examine benthic, pelagic and mangrove carbon flux within mangroves and tidal creeks of Sawi Bay.

Organization: Australian Ocean Data Network
UV-absorbing pigments in eye tissues of fish from the Great Barrier Reef

Ocular tissues from 52 species (19 families) of tropical marine fish were examined for levels of UV-absorbing pigments in the spectral region 300-380 nm.Specimens of mackerels, tuna and marlin were caught by surface trolling in Bowling Green and Upstart Bays; all other fish were caught by hand-line or spearfishing at Grub, Hunt and Marion Reefs. The eyes were removed and frozen immediately at -20°C. Lens ocular tissues were excised from defrosted samples, crushed and extracts formed by steeping in 5ml methanol. Visible-u.v. absorption spectra from these extracts were recorded. Solid protein biomass was determined from the solid tissue residues. Mycosporine-like amino acids (Asterina-330, palythene, palythine and palythinol) were separated and quantified (nmol/mg protein) using reverse-phase isocratic high-performance liquid chromatography (HPLC).The efficiency of methanol extraction
 This research was undertaken to:1. identify and describe the distribution of mycosporine-like amino acid compounds in the lens tissues of marine fish2. develop techniques for quantitative studies of UV absorbing compounds in fish eyes using high performance liquid chromotography3. evaluate the efficiency with which these compounds can be extracted from lens tissues

Organization: Australian Ocean Data Network