AndreaBozzo/ceres-open-data-index huggingface dataset:
WAMSI 2 - Dredging Node - Project 9.1 - Effects of dredging related pressures on critical ecological processes for other organisms

Dredging is a common activity used for the development of marine infrastructure. It involves the physical removal of sediment from a dredged area in order to increase depth to allow for shipping, the laying of underwater pipelines and other port related developments. Dredging has significant effects on the marine environment, particularly the benthos, with direct and indirect impacts on marine flora and fauna. It is the key goal of dredging operations to reduce all potential impacts of dredging to acceptable levels.  
Two workshops were held: 
First from 29th – 30th November 2013 at CSIRO Floreat and the second from 22nd - 23rd September 2014 at CSIRO Floreat.
The objectives of Workshops I &amp; II were as follows:
* identify the timing of critical ecological processes in tropical and temperate ecosystems with a focus on non-coral and non-fish biota (seagrasses, seaweeds, sponges, ascidians, bryozoans, molluscs, echinoderms, crustaceans and non-coral cnidarians);
* identify environmental windows for critical ecological processes identified in Objective 1. This will be achieved by compiling information on the timing of reproduction, release of propagules and recruitment for these organisms, as well as the temporal and spatial scales of reproduction and recruitment events;
* identify potentially critical periods (environmental windows) and locations when mitigating scheduling and processes could be employed to reduce the impact of dredging on non-coral and non-fish biota;
* review the state of knowledge regarding potential effects of dredge-related sediments and other dredge-related pressures on these key ecological processes; and
* identify the potential for invasive species to become established.
The data product for this project is final report (.pdf).

Tags: "EARTH SCIENCE SERVICES" | "MODELS", "EARTH SCIENCE" | "BIOLOGICAL CLASSIFICATION" | "ANIMALS/INVERTEBRATES", "EARTH SCIENCE" | "BIOLOGICAL CLASSIFICATION" | "PLANTS" | "ANGIOSPERMS (FLOWERING PLANTS)" | "MONOC, "EARTH SCIENCE" | "BIOLOGICAL CLASSIFICATION" | "PLANTS" | "MACROALGAE (SEAWEEDS), "EARTH SCIENCE" | "OCEANS" | "MARINE SEDIMENTS" | "TURBIDITY"
Organization: Australian Ocean Data Network
Bluethroat Wrasse Commercial Fishery Data (2017/2018 to 2021/2022)

Bluethroat wrasse (Notolabrus tetricus) commercial catch (in tonnes), commercial effort (in number of days fished), and commercial Catch Per Unit Effort (CPUE, in kg/day fished) by fishing season per NRE scalefish fishery fishing block for all gear types combined.
The dataset was provided by the Tasmanian Wild Fisheries Assessments team at IMAS.
Tasmanian wild fisheries stock assessments are conducted by the Fisheries and Aquaculture Centre of the Institute of Marine and Antarctic Studies (IMAS) on behalf of the Tasmanian Department of Natural Resources and Environment (NRE Tas). Under the Sustainable Marine Research Collaboration Agreement (SMRCA), IMAS conduct fishery assessments, provide expert management advice and undertake scientific research on Tasmanian fisheries issues for NRE Tas.

Tags: Bluethroat wrasse, Notolabrus tetricus
Organization: Australian Ocean Data Network
Vertical fluxes of hydrocarbons on the North West Shelf of Western Australia as estimated by a sediment trap study

This study was conducted in order to provide preliminary information on carbon cycling on the North West Shelf, extending from Exmouth shelf to Exmouth Plateau. The research aimed to understand the spatial scale of petroleum biomarkers in the water column, and to estimate the speed of synthesis and degradation of organic matter and hydrocarbons in the water column and surface sediments
Six replicated sediment traps arrays were attached to wire moorings, fitted with S4 current meters below each trap. The arrays were deployed at stations throughout the region. Surface sediment samples were collected with a Smith-McIntyre grab sampler and core samples were collected using a Kasten Corer. 
Using molecular lipid biomarkers to indicate the sources of biogenic organic carbon and petroleum, sediment traps were used to collect fluxes of lipids from settling particles. This composition was compared with water volume samples and surface sediments.

Organization: Australian Ocean Data Network
New South Wales - National Intertidal-Subtidal Benthic NISB Habitat Map

The NISB Habitat Map was created by the University of Tasmania for a partnership between the Department of Climate Change and the National Land and Water Resources Audit. It supports the DCC/Audit partnership by providing a nationally consistent set of the available mapping data for those habitats that occur between the approximate position of the highest astronomical tide mark (HAT) and the location of the outer limit of the photic benthic zone (approximately at the 50-70 m depth contour). This area is broadly equivalent to the 'inner' and 'mid-shelf' regions identified by Geoscience Australia. The resulting map data set forms a core component of the ECM National Habitat Map Series. The habitat classes include: coral reef, rock dominated habitat, sediment dominated habitat, mangroves, saltmarsh, seagrass, macroalgae and filter feeders (e.g. sponges), as defined in the NISB Habitat Classification Scheme. The scheme is designed to support the development of marine 'ecoregions' or bioregional subregions. Details of the scheme and the process of its development are available in National Intertidal/Subtidal Benthic (NISB) Habitat Classification Scheme Version 1 (Mount, Bricher and Newton, 2007). The NISB Habitat Map consists of two layers for each state. _NISB.shp consists of the entire available habitat mapping at a resolution finer than 1:50 000 (with a few exceptions, outlined in the data quality section below). _NISB_PLUS.shp consists of all the data in _NISB.shp along with coarser resolution data, including NVIS and OzEstuaries data. These layers were used to produce the National ECM Key Habitat Distribution Map Series 10 km and 50 km tile maps.
NB This NSW layer is only _NISB.shp, not _NISB_PLUS.shp.

Tags: Australia, New South Wales
Organization: Australian Ocean Data Network
SAIMOS - Biological and Flow Cytometry data collected from CTD stations in South Australia, in December 2018

Flow cytometry data was collected in December 2018, 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 | Nitrogen, Oceans | Ocean Chemistry | Phosphate, Oceans | Ocean Chemistry | Silicate, 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, 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
Ningaloo Collaboration Cluster: Habitats and biodiversity of the Ningaloo Reef lagoon Part 2: Biodiversity and ecology

Surveys were undertaken of key invertebrate and plant groups in lagoon areas throughout the Ningaloo Marine Park, focussing on identifying and quantifying soft corals, sponges, echinoderms (urchins and sea cucumbers) and seagrasses; this information was linked to the underlying habitat structure in the Ningaloo Reef lagoons, used in a parallel habitat mapping project based on hyperspectral aerial photography. The biodiversity surveys conducted throughout the Ningaloo Reef system have shown that there are clear differences in the lagoon systems in different parts of the Marine Park, with clear biogeographic separation of sponges, soft corals and seagrasses. This has important implications for the distribution and abundance of many animals, including some of commercial importance. The northern section of the Marine Park (north of Point Cloates) is more strongly tropical than the southern section, which has many temperate species present. There are also several locations within the Ningaloo Reef system that are quite unique and don’t necessarily match the surrounding lagoon environment. Examples include Coral Bay, Bateman Bay and the Point Cloates region. These observations will be important in the management of the Ningaloo Marine Park; the northern and southern sections of the Marine Park may need to be managed differently. Surveying biological groups over the whole Marine Park is difficult and time consuming; further sampling in more locations and at different times of year are required to build on the findings of our study. There are clear seasonal differences in primary productivity in the lagoons, which likely drive significant community-wide changes throughout the year. These seasonal variations will also affect the validity of the habitat maps, which were based on imagery collected at only one time of year. Seasonal sampling will improve the reliability of the habitat maps and also give a better understanding of how the Ningaloo system operates.

Organization: Australian Ocean Data Network
Time-space variability of the out-pushing from Bowling Green Bay, north Queensland, in CZCS-chlorophyll imagery

A Landsat image for March 1981, indicated a strong front that occurred between nearshore and offshore waters, extending offshore from Cape Bowling Green, north Queensland. This front coincided with high concentrations of billfish and baitfish populations known to exist in the area. Six CZCS images from the NASA Nimbus-7 satellite, taken between the 12th May 1980 and the 20th June 1982, were selected for analysis of pigment concentrations (chlorophyll a and phaeopigments). Raw data were processed and analysed using the microBRIAN system. Wind speed and direction as well as tidal information for the time that the images were taken was also collected.
 The purpose of this research was to determine spatial and temporal variations in water color and sea surface chlorophyll distribution using CZCS imagery and to compare them with water circulation models and known abundances of billfish and baitfish populations. The initial objectives were:1. to evaluate how persistent the out-pushing (or frontal phenomenon) is from the Bowling Green Bay mangroves area;2. to determine under what environmental conditions does this out-pushing form;3. to calculate the sea-surface pigment chlorophyll concentrations in these water masses to identify areas of high chlorophyll concentration.
 CZCS satellite imagery was provided by the Great Barrier Reef Marine Park Authority (GBRMPA). Wind speed and direction were accessed from the Cape Cleveland weather station. The locations of concentrations of billfish and baitfish were provided by Dr Dave McB Williams.

Organization: Australian Ocean Data Network
The Leeuwin Current

Satellite altimetry, a regional geoid model and the CARS climatology model were used to study the Leeuwin Current offshore Western Australia.  Re-tracking is needed to get the best sea-surface heights close to the coasts and geoid models are still in need of refinement.

Tags: Dynamic Ocean Topography, Marine Features (Australia) | Leeuwin Current, Oceans | Sea Surface Height | Sea Surface Height, Satellite Altimetry, Solid Earth | Geodetics/gravity
Organization: Australian Ocean Data Network
Insect herbivory on mangrove leaves in north Queensland

Leaves from canopy and understory species were sampled within mangrove forests from an estuarine site at Tully Heads, two tidal embayment sites in Missionary Bay (Hinchinbrook Island) and Chunda Bay near Townsville, during October and November 1984. A total of 25 species were sampled.Each tree or shrub was sampled by removing leafy shoots or rosettes of leaves until between 50 and 100 leaves were collected. For shorter trees and shrubs, leaves were removed randomly from all parts of the canopy. Larger trees were sampled only to a height accessible by climbing, except for those at the Missionary Bay sites, where a raised walkway allowed greater access to the canopy. Leaves were placed in plastic bags and stored at 4°C until processed. The number of trees of each species sampled within a site was dependent on the abundance of each species. Up to 15 trees per site were sampled for common species or species observed to exhibit highly variable levels of herbivory and 3 or fewer trees were sampled for rare species. Samples were taken from seedlings, saplings and mature trees. The percentage of leaf area missing was used to score insect damage. Estimates of leaf damage were made visually, with each leaf assigned to one of 12 damage categories (0% = undamaged, 1-5%, 6-10%, 11-20%, 21-30% ..... 91-100%. The accuracy of damage estimates was determined using samples of leaves of Rhizophora stylosa sampled at Chunda Bay and comparing observer scores with damage measured with a Lamda Instruments leaf area meter.Experiments were also carried out at Chunda Bay to calculate appropriate correction factors for problems which may contribute to over- or underestimation of the proportion of leaf production removed by grazing insects. Holes of known size were punched in newly opened leaves of Rhizophora stylosa, Ceriops tagal var. australis and Avicennia marina and the hole expansion monitored as each leaf grew to mature size. Comparisons of rates of herbivory on juvenile and mature leaves were made by monitoring marked leaves. The frequency of total leaf loss was monitored by marking and monitoring 30 newly opened leaves of each of the three species for a period of three months.
 This study was initiated to investigate the level of herbivory on leaves of mangrove forest species occurring in north Queensland. This information would enable estimation of the proportion of leaf production entering direct grazing pathways and also allow comparisons of leaf herbivory with Australian terrestrial forests.

Organization: Australian Ocean Data Network
WAMSI Node 4.2.3 - Fisheries dependent data and climate - Overview

The important role of the marine environment in recruitment and catches of a number of Western Australian commercial fisheries has long been recognised. This project is establishing a centralised database of relevant oceanographic and meteorological data off the Western Australian coastline in a consistent format to assist in establishing links between fisheries and the environment. The data are being acquired both from external sources (e.g. CSIRO, Bureau of Meteorology) and from internal Fisheries data collected over the years.

Tags: Oceans | Coastal Processes | Sea Surface Height, Oceans | Ocean Circulation | Ocean Currents, Oceans | Ocean Temperature | Sea Surface Temperature, Oceans | Ocean Waves | Wave Height, Oceans | Ocean Waves | Wave Period, Oceans | Ocean Winds | Surface Winds, Oceans | Salinity/density | Conductivity, Oceans | Water Quality | Chlorophyll
Organization: Australian Ocean Data Network
Coastal Lake Assessment and Management Tool (CLAM): Cudgen Lake, Tweed Shire Council

The Coastal Lake Assessment and Management (CLAM) tool allows stakeholders to assess the social, economic and environmental trade-offs associated with development, remediation and use options for coastal lakes and estuaries. Researchers at the Australian National University (ANU) developed CLAM in 2004 when contracted by the NSW State Government to provide sustainability assessments of 8 coastal lakes. Several projects have since been established directly with local government and NRM groups.
To date, 27 CLAMs have been developed in New South Wales, where they generally fit within estuary management or catchment management plans. To develop these CLAMs and build local capacity to maintain them, ANU-Enterprise Pty Ltd - the commercial company of ANU developed an Accreditation Scheme whereby local consultants are trained in the CLAM approach.

Tags: Agriculture | Agricultural Aquatic Sciences | Aquaculture, Agriculture | Agricultural Aquatic Sciences | Fisheries, Agriculture | Agricultural Plant Science | Reclamation/revegetation/restoration, Agriculture | Forest Science | Forest Fire Science, Agriculture | Forest Science | Reforestation, Biosphere | Aquatic Habitat | Coastal Habitat, Biosphere | Aquatic Habitat | Estuarine Habitat, Biosphere | Aquatic Habitat | Lakes, Biosphere | Aquatic Habitat | Rivers/stream Habitat, Biosphere | Aquatic Habitat | Saline Lakes, Biosphere | Terrestrial Ecosystems | Agricultural Lands, Biosphere | Terrestrial Ecosystems | Wetlands, Biosphere | Wetlands | Estuarine Wetlands, Biosphere | Wetlands | Riparian Wetlands, Cudgen Lake, Human Dimensions | Economic Resources | Agricultural Economics, Human Dimensions | Environmental Impacts | Eutrophication, Human Dimensions | Environmental Impacts | Reclamation/revegetation/restoration, Human Dimensions | Environmental Impacts | Sewage, Human Dimensions | Environmental Impacts | Urbanization, Human Dimensions | Environmental Impacts | Water Management, Human Dimensions | Land Use/land Cover | Land Management, Hydrosphere | Surface Water | Lakes, Hydrosphere | Surface Water | Rivers/streams, Hydrosphere | Water Quality | Nutrients, Land Surface | Erosion/sedimentation | Suspended Solids, Land Surface | Landscape | Landscape Management, Oceans | Coastal Processes | Estuaries, Oceans | Coastal Processes | Lagoons, Oceans | Coastal Processes | Mangroves, Oceans | Coastal Processes | Sea Level Rise, Oceans | Coastal Processes | Shorelines
Organization: Australian Ocean Data Network
State and Territory Marine Weather: Australian Bureau of Meteorology

The Bureau of Meteorology provides the Australian and international maritime communities with weather forecasts, warnings and observations for coastal waters areas and high seas around Australia. Generally most of these services are provided routinely throughout the day, while marine weather warnings may be issued at any time when the need becomes apparent.
Because of the complex nature of the sea, the Bureau of Meteorology uses advanced computer models to predict the physical characteristics of the ocean.
These computer forecasts are used by meteorologists in the preparation of marine forecasts and warnings. The forecasts include wind, weather, sea and swell and are intended to describe the average conditions over specified areas.
Marine forecasts have been enhanced by the inclusion of ocean currents and sea-surface temperature forecasts through the BLUElink ocean forecasting initiative.
Marine weather services include:
          * Marine warnings
          * Marine forecasts
          * Forecasts of winds
          * Sea and swell forecasts
          * Marine weather observations
          * Ocean services
          * General weather services
    * Definitions and terminology
    * Ways to get weather information
This Metadata record links to the Marine Weather Services Home Page and the Latest Coastal Weather Observations for each State. Also included in this record are Weather Warnings Information, Australian High Seas Areas, Weather Analysis Archives, Satellite Products and Archive and Realtime Data and Formats.

Tags: Atmosphere | Atmospheric Temperature | Air Temperature, Atmosphere | Atmospheric Temperature | Maximum/minimum Temperature, Atmosphere | Atmospheric Winds | Surface Winds, Atmosphere | Precipitation | Rain, Atmosphere | Radiation Budget | Sunshine, Oceans | Bathymetry | Seafloor Topography, Oceans | Ocean Temperature | Sea Surface Temperature, Oceans | Ocean Temperature | Water Temperature, Oceans | Ocean Waves | Sea State, Oceans | Ocean Waves | Swells, Oceans | Ocean Waves | Wind Waves, Oceans | Ocean Winds | Surface Winds, Oceans | Tides | Tidal Range, air_pressure, air_temperature, rainfall_amount, relative_humidity, sea_surface_temperature, wind_speed
Organization: Australian Ocean Data Network
RAN CTD Profile Data - HMAS LEEUWIN ProjectID: HI456LEE_M From: 2008-09-15 To: 2008-10-20

This dataset contains quality controlled vertical profiles of pressure, temperature and salinity measured by a Conductivity, Temperature and Depth (CTD) probe. The dataset contains 24 CTD profiles (casts) obtained during RAN Hydrographic Survey cruise HI456LEE_M from HMAS LEEUWIN.
The CTD was manufactured by Applied Microsystems Limited and is the "Micro CTD" model. This CTD type is referred to operationally as the MVP200_CTD. This CTD is fitted with a 4 electrode platinized conductivity cell, thermistor temperature sensor and a semiconductor strain gauge pressure sensor.
The CTD sensors are calibrated at the manufacturer Applied Microsystems Limited on a 12-18 month schedule. The CTD temperature sensor is calibrated against 'Hart' temperature standards. The pressure sensor is calibrated using 'Budenburg Deadweight' standards. The conductivity sensor is calibrated using 'Hart' temperature standards and seawater samples of known conductivity.
The CTD sensors are mounted to a fish-shape probe. The probe is controlled by an electric winch (MVP200 type). For downcasts the fish is allowed to free-fall (winch is in 'free-wheel' mode) under its own weight at about 2-3 ms-1 and then is winched back. Data is recorded in downcast and usually in upcast direction at a sampling rate of 25 Hz. The downcast data is of higher quality because sensors encounter undisturbed seawater that flows through the nose of the fish. On the upcast the fish is flipped around (tail first) and the sensors in the nose encounter disturbed flow from the fish tail.
This type of CTD is prone to a phenomenon called 'salinity spiking' caused by a mismatch between the response times of the temperature and conductivity sensor. Data undergoes a salinity de-spiking routine to correct for this. See the history metadata for further details on the salinity de-spiking process.
Raw CTD pressure data is not always monotonic due to transient up/down motion of winch/ship. Raw pressure data is subsetted to give a monotonic (increasing) sequence and then linearly interpolated to 1 decibar pressure intervals. Data is then flagged with quality control flags after visual inspection and comparison to average climatology and historical CTD casts.

Tags: Oceans | Ocean Temperature | Water Temperature, Oceans | Salinity/density | Salinity, sea_water_practical_salinity, sea_water_temperature
Organization: Australian Ocean Data Network