AndreaBozzo/ceres-open-data-index huggingface dataset:
Facility for the Automated Intelligent Monitoring of Marine Systems - FAIMMS

Sensor networks are a leading edge technology that can be used to provide spatially dense bio-physical measurements in real-time. In the marine environment they have particular application to the study of benthic ecosystems. The term 'sensor network' refers to an array of small, wirelessly interconnected sensors that collectively stream sense data to a central data aggregation point. Some sensors can be set to sample according to prevailing conditions (e.g. monitoring salinity more frequently after rainfall), but since communications with the sensors will be bi-directional they can also be manipulated by central land-based control systems. Initially they will be deployed in a large scale pilot to collect data related to the interaction of heat and light in coral bleaching, and to understanding the impact of upwelling from the Coral Sea upon the productivity of Great Barrier Reef ecosystems.While sensor networks are a leading edge technology, they are well suited to the proposed application because proven technologies exist for reliable sensing of physical variables (e.g. temperature, salinity, light) critical to the immediate scientific questions, which are:1. understanding the interaction of heat and light in coral bleaching, and2. understanding the impact of upwelling from the Coral Sea upon the productivity of GBR ecosystems.The immediate value of the network will be its ability to return spatially dense bio-physical measurements in real-time. As such this represents a large scale trial or proof of concept of a very important emerging technology for application in the marine environment with particular relevance to benthic ecosystems such as Great Barrier Reef and other benthic environments.
 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
Estimating above-ground biomass in six mangrove tree species, north eastern Queensland

Mangrove trees of six species were sampled in order to derive allometric relationships for estimating leaf biomass, branch biomass, stem biomass and total above-ground biomass from measurements of the diameter of the stem at breast height (DBH). Rhizophora apiculata, Rhizophora stylosa, Bruguiera gymnorhiza, Bruguiera parviflora, Ceriops tagal var. australis and Xylocarpus granatum were sampled from the mangrove forests of Hinchinbrook Island, the Murray River and the Daintree River in north Queensland between 1985 and 1988.For each species, the diameters of stems of trees from a range of size-classes were measured. The trees were then felled and divided into leaves, branches, stem and above-ground roots. The fresh weight of each component was measured in the field and subsamples of each component were collected, weighed and taken to the laboratory for determination of dry weight.
 This research was undertaken to determine if allometric relationships existed between stem diameter at breast height (DBH) and above-ground biomass, which would enable reliable, non-destructive estimates of the biomass of mangrove trees. Reliable estimates of biomass combined with growth rates are required for estimates of primary productivity.

Organization: Australian Ocean Data Network
2016 SoE Marine Chapter - State and Trends - Epipelagic fish species

The Marine chapter of the 2016 State of the Environment (SoE) report incorporates multiple expert templates developed from streams of marine data. This metadata record describes the Expert Assessment "The state and trends of quality of species and groups – Epipelagic fish species". The full Expert Assessment, including figures and tables (where provided), is attached to this record. Where available, the Data Stream(s) used to generate this Expert Assessment are accessible through the "On-line Resources" section of this record.

DESCRIPTION OF ECOLOGICAL SPECIES/COMMUNITY FOR EXPERT ASSESSMENT
Australia’s coastal small pelagic fishes (&lt;50 cm) include species such as Australian Sardines, Maray, Blue and Sandy Sprats, Australian anchovy, scads, Jack Mackerel, hardyheads, silversides, Blue mackerel, Australian Herring and Redbait. Tropical and temperate assemblages are comprised of different species and there are also regional differences in species composition (Hobday et al. 2009). This assessment refers only to temperate species in the East, South-east and South-west regions. Blue Mackerel, Common Jack Mackerel, Redbait and Australian Sardine (off eastern Australia only) are targeted by the Commonwealth Small Pelagic Fishery. The SPF is managed in two Zones: East spanning half of the East and eastern South-east regions and the West spanning the South west and western half of South-east). State fisheries primarily target Australian Sardine but may also take Australian Anchovy, Blue Mackerel, sprats and Maray.
DATA STREAM(S) USED IN EXPERT ASSESSMENT
The assessment is based on data and analyses published in the peer review literature, stock assessment reports and minutes of the meetings of the Small Pelagic Fishery Scientific Panel. Details of specific data sets used to generate the assessment have not been provided.

2016 SOE ASSESSMENT SUMMARY [see attached Expert Assessment for full details]
• 2016 •
Assessment grade: Good
Assessment trend: Stable
Confidence grade: Adequate high quality evidence and high level of consensus
Confidence trend: Adequate high quality evidence and high level of consensus
Comparability: Grade and trend are comparable to the 2011 assessment
• 2011 •
Assessment grade: Good
Assessment trend: Stable
Confidence grade: Adequate high quality evidence and high level of consensus
Confidence trend: Limited evidence or limited consensus

CHANGES SINCE 2011 SOE ASSESSMENT
Additional fishery catch data, more recent stock assessments.

Tags: expert assessment, fisheries, pelagic fish, spatial management
Organization: Australian Ocean Data Network
Ecosystem modelling

The seagrass ecosystem of Shark Bay is characterised by top-down control through tiger sharks. Adult tiger sharks migrate to shallow habitats in Shark Bay during the austral summer. During such times of high tiger shark abundance, the megafauna of the ecosystem leave the seagrass meadows. Despite the fact that only some species of the megafauna are major components of the adult tiger sharks diet, the majority of these species and individuals are impacted by the presence of tiger sharks and leave the feeding grounds in the seagrass beds in summer. This control system has the potential to become imbalanced if, in common with other populations of this species worldwide, there is a decrease in the abundance of adult tiger sharks in the Shark Bay population. Targeting of tiger sharks by fishers in the waters of Northern Australia and Indonesia has increased steadily during the last years, which might impact the tiger shark stock in Shark Bay. 
Using qualitative modelling, model analyses indicate a strong top-down control of tiger sharks. By implementing a direct and behaviour-induced impact, tiger sharks affect the use of the seagrass habitat by the megafauna and thus impose alternating predation pressure on different prey groups within the seagrass habitat in Shark Bay. 
Tiger sharks are clearly affected by the Northern Shark Fishery, but the activities of recreational fishermen within Shark Bay reduce the prey availability for juvenile tiger sharks, which might negatively affect the whole tiger shark population and thus may impact the dynamics of this seagrass ecosystem. 
Recognizing the ecological importance of this species and the potential impact that further decrease of the population is likely to have on the ecosystem, it is important that appropriate management action is taken to maintain the abundance of the tiger shark population in Shark Bay.

Tags: Biosphere | Ecological Dynamics | Trophic Dynamics, Ecosystem Model, Loop Analysis, Marine Features (Australia) | Shark Bay, WA, Modelling, Recreational Fishing, Seagrass, Tiger Sharks, Top-down Control
Organization: Australian Ocean Data Network
South Pacific Epidemiological and Health Information Services (SPEHIS) fish poisoning database

This database combined data from a number of public sources to assist in analysing for climate trends in ciguatera within the South Pacific. Monthly fish poisoning rates for nations within the South Pacific from 1988 to 1996 obtained from the South Pacific Epidemiological and Health Information Services (SPEHIS). Ciguatera case rates were calculated for each year using population data from the United Nations global population database. Also within the database are the sea surface temperature records from the Hadley Centre Sea Ice and SST data set up to 2007. The sea surface temperature database has also been segmented by the South Pacific nation maritime boundaries.
 For analysing potential links between sea surface temperature and ciguatera intensity.

Organization: Australian Ocean Data Network
2016 SoE Marine Chapter - Pressures - Anthropogenic noise

The Marine chapter of the 2016 State of the Environment (SoE) report incorporates multiple expert templates developed from streams of marine data. This metadata record describes the Expert Assessment "Pressures on the marine environment associated with anthropogenic noise". The full Expert Assessment, including figures and tables (where provided), is attached to this record. Where available, the Data Stream(s) used to generate this Expert Assessment are accessible through the "On-line Resources" section of this record.

DESCRIPTION OF THE PRESSURE
The main anthropogenic activities producing high levels of noise are seismic surveys of sub bottom strata (usually air gun arrays), sonars (military, scientific surveying, echo sounders), explosions (associated with military exercises and port construction), pile driving (wharf construction, offshore platforms), vessels (particularly dynamically positioned vessels), dredging and drill rig activities. Seismic surveys to date have been concentrated in the main oil and gas regions of the north west shelf and Bass Strait, military sonar concentrated in maritime exercise areas such as Sydney and Perth, dynamically positioned vessels are associated with offshore facilities and pile driving in port development areas such as the north west and north east.
DATA STREAM(S) USED IN EXPERT ASSESSMENT
National oil and gas facility, seismic survey and shipping data, published papers and reports on exposure experiments and sound modelling.

2016 SOE ASSESSMENT SUMMARY [see attached Expert Assessment for full details]
• 2016 •
Assessment grade: Low-High impact
Assessment trend: Unclear
Confidence grade: Limited evidence or limited consensus
Confidence trend: Limited evidence or limited consensus
Comparability: Not previously assessed

CHANGES SINCE 2011 SOE ASSESSMENT
Noise as a pressure on the marine environment was not assessed in 2011.

Tags: anthropogenic noise, anthropogenic pressure, expert assessment
Organization: Australian Ocean Data Network
The ecology and trophic role of caridean shrimps in the eelgrass community of Western Port, Victoria

This study investigated the ecology of caridean shrimp in eelgrass habitats in Western Port Bay, Victoria from July 1977 to January 1980. The study sites were located on the Churchill Tidal Flats on the northern side of Phillip Island, which are dominated by the eelgrass species, Heterozostera tasmanica and the cardiean shrimp species, Macrobrachium intermedium, Pontophilus candidus, Hippolyte caradina and Chlorotocella leptorhyncus. Benthic trawls were used to sample the shrimp populations at an offshore (Site A) and inshore (Site B) eelgrass site. Another site on a mudflat (Site C) was sampled to determine the movement patterns of shrimps between the mudflats and adjacent subtidal eelgrass areas. Sampling was undertaken every 1 to 2 months at night time during high tide. Plankton tows were used to monitor the presence of larval stages of shrimp in the water column. Details of each experiment and results are described in the related records.

Tags: 28 756901, 28 767018, 28 770020, 28 781018, 63 619003, 63 619004, Biosphere | Aquatic Habitat | Benthic Habitat | tidal flats, Biosphere | Ecological Dynamics | Community Structure, Biosphere | Ecological Dynamics | Population Dynamics, Biosphere | Ecological Dynamics | Predation, Biosphere | Ecological Dynamics | Trophic Dynamics, Biosphere | Vegetation | Flowering Plants | eelgrass, Biosphere | Zoology | Invertebrates, Chlorotocella leptorhyncus, Heterozostera tasmanica, Hippolyte caradina, Macrobrachium spp., Oceans | Marine Biology | Marine Invertebrates, Oceans | Marine Biology | Marine Invertebrates | Malacostraca | carid shrimps, Phillip Island, Pontophilus candidus, Rhyll, Western Port Bay, Zostera muelleri, carid prawn, carid shrimp, eelgrass, hump-backed shrimp
Organization: Australian Ocean Data Network
Australian Maritime Boundaries: Geoscience Australia

Australia's Maritime Boundaries (AMB) is now on-line via AMSIS.
As an island continent, Australia has sovereign rights over a vast area of ocean, along with the fishery, mineral, and petroleum resources found in that area - resources worth billions of dollars each year.
The management and protection of the waters that yield these resources is, however, a complex task. Geoscience Australia has a major role in the delineation of Australia's maritime boundaries. The delineation of these boundaries has strategic, economic and environmental implications.
This Website links to: 
* Computing Australia's Maritime Boundaries
* Maritime Boundary Definitions
* AMB Data Product Information
* Examples of Maritime Boundary Maps
* Related Sites


Tags: Maritime boundaries, Maritime zones, Oceans | Bathymetry | Seafloor Topography
Organization: Australian Ocean Data Network
Detached macrophyte accumulations in surf zones: significance of macrophyte type and volume in supporting secondary production

Feeding experiments on collected amphipods and fish sampling were conducted from surf zones of sandy beaches in southwestern Australia to determine the influence of detached macrophytes (seagrass and macroalgae) on secondary production.

Tags: Biosphere | Ecological Dynamics | Community Structure, Biosphere | Ecological Dynamics | Feeding Habitat, Biosphere | Ecological Dynamics | Secondary Production, Biosphere | Vegetation | Macrophyte, Biosphere | Zoology | Invertebrates, Oceans | Marine Biology | Fish
Organization: Australian Ocean Data Network
WAMSI Pilbara aerial photo data - 25th September 2008

On the 25th of September 2008 a Canon EOS 1Ds took 967 photos from a plane flown by Jorg Hacker - (Airborne Research Australia).  These were taken near Karratha (Regnard Bay) and geo-located (centre-points only) using OziExplorer and OziPhotoTools software.
Detailed flight lines and information are included in the .kmz files attached.

Tags: Cameras | Aerial Cameras
Organization: Australian Ocean Data Network
Ocean and Marine Modelling and Forecast Products

Collection of ocean circulation and marine wave and inudation analysis and forecast model output from National Meteorological and Oceanographic Centre and CAWCR using the various modelling systems for a variety of domains such as global, regional, and coastal.  The data collection represents the Bureaus daily forecast of ocean circulation, wave analysis and model output including research reanalysis of global, regional and coastal ocean circulation and marine wave environments.  Additionally the collection contains the tsunami wave propogation scenarios and model output.
The analysis data is outputted from the BLUElink Ocean Data Assimilation Software (BODAS), the forecast data from the NOAA MOM4 software and Ocean Model And Prediction System (OceanMAPS), and the wave model output from the Wave Watch 3 software. The tsunami model scenarios are outputted from NOAAs MOST modelling software

Tags: 040503 - Physical Oceanography, National Computational Infrastructure (NCI), Oceanography
Organization: Australian Ocean Data Network
Victoria - National Intertidal-Subtidal Benthic NISB Habitat Map (PLUS)

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.
Note: This data is labelled as “NISB_plus”, indicating that it is the NISB Habitat layer plus other lower quality layers.

Tags: Australia, Victoria
Organization: Australian Ocean Data Network
Heritability of heat tolerance of corals on the Great Barrier Reef (MTSRF Project 2.5i.2)

Using a quantitative genetics approach, the proportion of the variance in thermal tolerance traits that has a genetic basis (i.e. heritability) was estimated as a proxy for their adaptive potential in the widespread Indo-Pacific reef-building coral Acropora millepora. Two physiologically different populations that associate respectively with one thermotolerant (Symbiodinium clade D) and one less tolerant symbiont type (Symbiodinium C2) were chosen.Pulse amplitude modulated (PAM) fluorometry and high performance liquid chromatography (HPLC) analysis was used to assess photosynthesis and photoprotective pigment profile. Quantitative real-time polymerase chain reaction (qRT-PCR) assays were used to assass changes in expression of fundamental stress genes.
 To estimate the potential of corals to adapt to rising seawater temperatures.
 Site locations:Nelly Bay (Magnetic Island), Orpheus Island

Organization: Australian Ocean Data Network
IMOS - Ocean Gliders - Slocum glider deployment in Western Australia off the coast of Kimberley (Feb - Mar 2013)

The dataset contains temperature, salinity and  turbidity data measured by a Slocum glider off the coast of Kimberley (Western Australia). 
Slocum glider data from the oceans around Australia have been collected by the Ocean Gliders Facility (formerly known as the Australian National Facility for Ocean Gliders (ANFOG)), since June 2008 and are ongoing. The data are obtained from an onboard suite of instruments which include Seabird-SBE41 CTD (Conductivity, Temperature, Depth), WETLabs BBFL2SLO 3 parameter optical sensor (measuring Chlorophyll-a, CDOM and 700nm Backscatter) and an Aanderaa oxygen optode (measuring concentration of dissolved oxygen in seawater.

Tags: CTD (Conductivity-Temperature-Depth Profilers), Coloured Dissolved Organic Matter (CDOM), Countries | Australia, Fluorometers, 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, 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
Trophic connectivity via nekton in an arid zone estuarine landscape

Project Description
To determine:1) the relative importance of mangroves v cyanobacterial mats in supporting nekton in an arid zone estuary; 2) whether trophic connectivity via nekton is dependent on the spatial arrangement of the estuarine habitat mosaic; and 3) whether tidal movements of the giant shovelnose ray (Rhinobatos typus) are likely to represent an important biotic vector of energy transfer across the arid estuarine landscape.

Tags: Biosphere | Ecological Dynamics | Trophic Dynamics, Biosphere | Vegetation | Algae, Marine Features (Australia) | Exmouth Gulf, WA, Oceans | Coastal Processes | Mangroves
Organization: Australian Ocean Data Network
ERIN Dual-processed Landsat TM tiles in Western Australia - Pinjarra tile

A Landsat TM image was cut using a NATMAP Geoscience Australia 1:250 000 scale map named Pinjarra (Map number SI50-2) and was saved in GeoTIFF format.
The image was geometrically rectified to GDA94 (Datum) and MGA50 (Projection) and a dual enhancement technique was conducted to Landsat TM satellite data where land was enhanced using bands 741 (RGB) and water was enhanced using bands 321 (RGB).  This is one of a series of tiles processed by ERIN from Coastal Atlas project in the 1990's.

Organization: Australian Ocean Data Network
Wind Speed and Direction data sets for Myrmidon Reef - 1993

This metadata record covers a subset of the data collected during dredging by the Townsville Port Authority in Cleveland Bay in 1993.   Data are divided into a number of main groups: Wind, tide gauge, wave rider, S4, sediment traps, water samples and nephelometers.  The data are grouped according to collection method and sampling location. See the metadata record title for collection method and geographic extent for the sampling location. Unique site numbers were assigned within Cleveland Bay at which data were collected.  Some of these sites were named, and others were unnamed.

Tags: Oceans | Ocean Winds | Surface Winds, wind_from_direction, wind_speed
Organization: Australian Ocean Data Network
Northern and Central Queensland Ambient Estuarine Water Quality Monitoring quality monitoring

All available ambient data from water quality monitoring in drainage basins by the Queensland Department of Science Information Technology Innovation and the Arts. Data covers coastal and estuarine waters in central and northern Queensland.

Tags: Central Queensland, ECOSYSTEM Analysis, ECOSYSTEM Research, ENVIRONMENTAL Education, ENVIRONMENTAL Impact, ENVIRONMENTAL Indicators, ENVIRONMENTAL Protection, ENVIRONMENTAL Research, HUMAN ENVIRONMENT Liveability Monitoring, MARINE Ecosystems Indicators, MARINE Ecosystems Monitoring, MARINE Ecosystems Research, MARINE Estuaries Indicators, MARINE Estuaries Monitoring, MARINE Estuaries Research, POLLUTION Water, WATER Quality, WATER Quality Analysis, WATER Quality Indicators, WATER Quality Monitoring, WATER Quality Networks, WATER Quality Research, WATER Surface Monitoring
Organization: Australian Ocean Data Network