AndreaBozzo/ceres-open-data-index huggingface dataset:
High predation of marine turtle hatchlings near a coastal jetty, Thevenard Island, Western Australia

We used passive acoustic telemetry to examine the effects of a jetty and artificial light on the rates of predation of flatback turtle (Natator depressus) hatchlings as they disperse through nearshore waters. A total of 61 hatchlings were released, 30 of which were released when artificial lights were present on the jetty. Predation rates were high, irrespective of the presence or absence of artificial light. Around 72% of the tagged hatchlings were predated before they could transit the nearshore. Evidence for predation was provided by tag detachment, likely due to prey handling by a predator or the extensive movement of the tags within the receiver array suggesting that the tag (and hatchling) was inside the stomach of a predator. This allowed us to track the movement of the hatchling predators. We found that 70% of the fish predators that consumed tags used the jetty as a refuge during the day and moved along nearshore waters at night. Our study shows how industrial development and the creation of nearshore structures such as jetties may have unintended consequences and pose a significant threat to populations of vulnerable species.

Organization: Australian Ocean Data Network
RAN CTD Profile Data - HMAS LEEUWIN ProjectID: HI444LEE_M From: 2007-07-05 To: 2007-09-02

This dataset contains quality controlled vertical profiles of pressure, temperature and salinity measured by a Conductivity, Temperature and Depth (CTD) probe. The dataset contains 371 CTD profiles (casts) obtained during RAN Hydrographic Survey cruise HI444LEE_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
Herbert River Lucinda Jetty Turbidity Data Transect Friday 13th February 2004

The objective of the research reported in this thesis was to develop a technique to monitor the dynamics of sediments and nutrients entering the coastal ocean with river plumes associated with high intensity low frequency events (e.g. floods), using ocean colour remote sensing. The data collected included suspended sediment concentration (TSS) and turbidity profiles.

Tags: Oceans | Ocean Optics | Turbidity, concentration_of_total_suspended_sediments, depth, secchi disc depth, secchi_depth_of_sea_water, total suspended sediments, turbidity
Organization: Australian Ocean Data Network
WA Coastal Compartments Primary

Coastal compartments are structural features relating to geological features and landforms that can be used to provide a framework for planning and management of the coastine. The primary compartment boundaries for WA were determined by identifying major changes in rock type along the coast and changes in shoreline orientation, while incorporating complete landforms of coastal significance. The primary compartments have then been subdivided to produce secondary and tertiary compartments. This dataset was commissioned by the Department of Planning and compiled by Damara Pty Ltd and the Geological Society of WA. A full report was also prepared to accompany the dataset , published August 2011. Some superficial changes have been made to the dataset since publication of the report in order to amalgamate the data into a nationwide compartment dataset developed by Geoscience Australia.

Tags: DoT, Downloadable Data, WA, australia, coast, coastal, coastline, compartments, department of environment, department of planning, department of transport, framework, geology, landforms, marine, planning, regional, risk, western australia
Organization: Australian Ocean Data Network
CSIRO-Mk3-6-0 model output prepared for CMIP5 historicalMisc

historicalMisc is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( http://cmip-pcmdi.llnl.gov/cmip5/ ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5.
Experiment design: http://cmip-pcmdi.llnl.gov/cmip5/docs/Taylor_CMIP5_design.pdf
List of output variables: http://cmip-pcmdi.llnl.gov/cmip5/docs/standard_output.pdf
Output: time series per variable in model grid spatial resolution in netCDF format
Earth System model and the simulation information: CIM repository
Entry name/title of data are specified according to the Data Reference Syntax ( http://cmip-pcmdi.llnl.gov/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc

Tags: 0399 - Other Chemical Sciences, 0401 - Atmospheric Sciences, 0405 - Oceanography, 0406 - Physical Geography and Environmental Geoscience, Atmospheric Sciences, National Computational Infrastructure (NCI), Oceanography, Other Chemical Sciences (Environmental Chemistry), Physical Geography and Environmental Geoscience
Organization: Australian Ocean Data Network
Ecosystem Health Monitoring Program (EHMP) Queensland

All available ambient data from water quality monitoring in drainage basins by the Queensland Department of Science Information Technology Innovation and the Arts.

Tags: 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, Southeast Queensland, 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
IMOS - Southern Ocean Time Series (SOTS) - Quality Assessment and Control Report - Wetlabs FLNTUS instruments

This report details the quality control applied to the bio-optical data collected from the Southern Ocean Time Series (SOTS) moorings between 2009 and 2016. The quality controlled datasets are publicly available via the AODN Data Portal. This report should be consulted when using the data. 
The Southern Ocean Time Series (SOTS) Observatory located at 140°E and 47°S provides high temporal resolution observations in sub-Antarctic waters. It is focused on the sub-Antarctic Zone because waters formed at the surface in this region slide under warmer subtropical and tropical waters, carrying CO2 and heat into the deep ocean, where it is out of contact with the atmosphere. This process also supplies oxygen for deep ocean ecosystems, and exports nutrients that fuel ~70% of global ocean primary production. The sub-Antarctic Zone and these processes are expected to change with global warming, but the potential impacts of these changes are not yet known.

Tags: Southern Ocean Time Series Observatory Sub-Facility, Integrated Marine Observing System (IMOS)
Organization: Australian Ocean Data Network
2015 Aerial survey data of southern right whales (Eubalaena australis) off southern Australia

These aerial survey data of southern right whales (Eubalaena australis) off southern Australia were collected in September 2015. Such annual flights in winter/spring between Cape Leeuwin (Western Australia) and Ceduna (South Australia) have now been conducted over a 23-year period 1993-2015. These surveys have provided evidence of a population trend of around 6% per year, and a current (at 2014) population size of approximately 2300 of what has been regarded as the 'western' Australian right whale subpopulation. With estimated population size in the low thousands, it is presumed to be still well below carrying capacity. No trend information is available for the 'eastern' subpopulation of animals occurring around the remainder of the southern Australian Coast, to at least as far as Sydney, New South Wales and the populations size is relatively small, probably in the low hundreds. A lower than  expected 'western' count in 2015 gives weak evidence that the growth rate may be starting to show signs of  slowing, though an exponential increase remains the best description of the data. If the low 2015 count is anomalous, future counts may be expected to show an exponential increase, but if it is not, modelling growth as other than simple exponential may be useful to explore in future.
A data update was provided in August, 2020 to correct some incorrectly given longitude values.

Tags: AIRCRAFT, AMD, AMD/AU, CAMERAS, CEOS, CESSNA 172 SKYHAWK, CONTINENT > AUSTRALIA/NEW ZEALAND > AUSTRALIA, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/VERTEBRATES > MAMMALS > CETACEANS > BALEEN WHALE, GEOGRAPHIC REGION > POLAR, OCEAN > SOUTHERN OCEAN, Southern Right Whales, Survey
Organization: Australian Ocean Data Network
FUGRO habitat mapping hydro acoustic survey (multibeam) in Ningaloo Marine Park, Western Australia (WAMSI Node 3 Project 1 Subproject 3.1.1)

Marine survey specialists Fugro Survey Pty Ltd (FUGRO) were contracted to conduct a habitat mapping hydro acoustic survey in three distinct regions of the Ningaloo Marine Park (NMP); Osprey, Boat Passage and Mandu.The multi beam survey was conducted using a Reson Seabat 8101. This survey provides detailed seafloor raster imagery of both bathymetry (shape) and backscatter (texture) to enable the preparation of high resolution habitat maps of the areas surveyed. The Reson Seabat 8101 was configured to output snippet backscatter data, which permits a geo-referenced textured map to be generated across the survey area.Complete coverage was achieved in the Osprey and Boat Passage regions, however due to time and safety constraints only the near shore portions of the Mandu region were surveyed.
 This survey was undertaken to provide a tool for the identification of areas of bathymetric and topographical interest in areas with different levels of protection within the Marine Park.The multi-beam data will allow the characterization and classification of the seafloor in terms relevant to the distribution of benthic habitats and help understand the spatial and temporal distribution of the deep water marine environment of NMP. The combination of topography and textural surfaces provide an excellent reference dataset for research and management of the NMP.

Organization: Australian Ocean Data Network
1080 Fox Control Program at Mundabullangana Station.

This program uses 1080 baits to reduce fox (and wild dog) numbers (and therefore predation on turtle nests) on the coastal strip between Victory Mill and Cowrie Creek on Mundabullangana Station.  
KEYWORDS: turtle, fox, Pilbara, Mundabullangana, 1080, bait, nest, predation
Pilbara Coast (Munda, Victory and Cowrie Beaches on Mundabullangana Station)

Organization: Australian Ocean Data Network
Community level impacts of Maoricolpus roseus on the function of native soft sediment assemblages

The impact of the introduced New Zealand screw shell, Maoricolpus roseus, were assessed using a cageing experiment in SE Tasmania (Bligh Point, D'Entrecasteaux Channel). Three treatments consisted of different substratum type (live, dead and empty shells, and dead shells with 50% occupancy by hermit crabs); which were crossed with 2 levels of screwshell density (high and low). Treatment groups were artificially maintained for 20 months before metabolic chambers were used to quantify the community metabolism of different treatment groups.

Tags: 24 079001, Biomass, Biosphere | Aquatic Habitat | Benthic Habitat, Biosphere | Ecological Dynamics | Community Structure, Biosphere | Ecological Dynamics | Competition, Community respiration, Epifauna density, Maoricolpus roseus, Net oxygen flux, Oceans | Marine Biology | Marine Invertebrates, Primary production
Organization: Australian Ocean Data Network
Temporal and Spatial variability of coral recruitment on WA reefs

From 1995 extensive data of coral recruitment was collected from WA reefs. Reefs include Scott Reef, Rowley Shoals, Dampier Archipelago, Ningaloo. Data were collected using terracotta plates mounted onto the reef substratum.

Tags: Biosphere | Ecological Dynamics | Life History, Biosphere | Zoology | Corals, Marine Features (Australia) | Dampier Archipelago, WA, Marine Features (Australia) | Ningaloo Marine Park, WA, Marine Features (Australia) | Rowley Shoals, WA, Marine Features (Australia) | Scott Reef, WA, Recruitment
Organization: Australian Ocean Data Network
Natural Hazards: Tsunami facts and management. Geoscience Australia.

A Tsunami is a wave generated by the movement of water from the surface to the seafloor. A Tsunami will usually occur as a result of an earthquake, landslide or vulcanic eruption in or near surrounding oceans. Geoscience Australia have been monitoring Tsunamis for several years and have a website describing the causes, common impacts, warning systems, definitions and library catalogues.
The website links to tsunami emergency   management in Australia, the Pacific Tsunami warning centre, Japan meterological Agency- warning Tsunami, Alaska Tsunami warning centre, International Tsunami warning centre, National Oceanic and Atmospheric Administration - Tsunamis, Russian Tsunami Laboratory, Emergency Management Australia Library.

Tags: Oceans | Ocean Waves | Tsunamis, Oceans | Ocean Waves | Wave Height
Organization: Australian Ocean Data Network
Water current readings from the North East mooring in Jervis Bay (Honeymoon Bay): 13/9/90 - 30/10/90

A current meter mooring was deployed in the NE section of Jervis Bay (35.0623S, 150.7672E) between 13/9/90 and 30/10/90. This mooring held two S4 Interocean current meters at depths of 11.5m and 5.5m. 
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 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. 
Users should be aware that there appears to be some distortion of data within these files. For example, the depth data recorded by the meter maintained around 11.5m produced negative values and also readings of 132m! Salinity readings from the 5.5m current meter are also missing for the start of the record.
Unfortunately one dataset is missing from this collection: The decimated hourly intervals for the meter at 5.5m have not been located, and are therefore not provided in this record
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 | Salinity/density | Salinity, Oceans | Tides | Tidal Currents, date, depth, direction_of_sea_water_velocity, eastward_sea_water_velocity, northward_sea_water_velocity, sea_water_density, sea_water_salinity, sea_water_speed, sea_water_temperature, time
Organization: Australian Ocean Data Network
SAIMOS - Biological and Flow Cytometry data collected from CTD stations in South Australia, in November 2021

Flow cytometry data was collected in November 2021, 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. Since July 2019, sampling has also been conducted at "Gulf" sites: Upper Spencer Gulf (USG) and Gulf St Vincent (GSV), with the original sites identified as "Shelf" sites.

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
Coastal Lake Assessment and Management Tool (CLAM): Cobaki Broadwater, 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, Cobaki Broadwater, 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