AndreaBozzo/ceres-open-data-index huggingface dataset:
WAMSI Node 4.3.1b - Determination of the diets of Snapper and Silver Trevally and construction of a food web for the demersal fish community in South-western Australia

From June 2009, for two years Snapper (Chrysophrys auratus) and Silver Trevally (Pseudocaranx georgianius) stomachs were sampled for their contents  to create food webs.
An understanding of the dietary composition of these two species is crucial for developing a food web involving the main demersal fish species found along the coast of south-western Australia. The production of ecosystem models using these food webs will facilitate the development of effective management strategies to sustain these species within the context of EBFM.  Currently, there is little known of the dietary composition of these two species.  Knowledge of these diets during each life cycle stage and each season will provide, in conjunction with data for other demersal fish species, an understanding of how food resources are partitioned among and within the different species and life stages.  By including these data with large existing data sets for approximately 40 other demersal fish species from the lower south west coast, a holistic food web can be constructed.  Such a food web will be the first of its kind in Western Australia and will provide an invaluable tool in fisheries management and evaluation.
Samples were collected seasonally over two years from inshore waters ranging from Kalbarri to Esperance.

Tags: Biosphere | Ecological Dynamics | Food-web Dynamics, Demersal, Diet, Snapper, Stomach Contents, Trevally, Trophic Guild
Organization: Australian Ocean Data Network
IMOS - Ocean Gliders - Slocum glider deployment along the coast of New South Wales (August 2011)

The dataset contains temperature, salinity and biological parameters like for example dissolved oxygen and turbidity data measured by a Slocum glider along the coast of New South Wales.
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
Parent record: Meteorological data recorded during the Jervis Bay Baseline Studies Project

This record describes components of the 'Jervis Bay Baseline Studies' project conducted by the Department of Defence, CSIRO and Australian Defence Force Academy (ADFA). The initial aims of the project were to obtain current and wind observations from Jervis bay over a six week period in order to detail the wind driven circulation and provide a data set for comparison with the numerical modelling work being simultaneously undertaken. However, after this initial experiment it became clear that there were significant currents in the bay that are not simply related to direct wind forcing. Therefore, alternative mechanisms for driving the flow had to be investigated, through the measurement programs and data analysis, as well as through numerical modelling. The result was a series of approximately six separate experiments aiming to define the water circulation around the bay and through the bay entrance, to gain an understanding of the processes that drive the currents, and to investigate the influence of stratification on the nature of the currents.
This record doesn't describe one of these six  experiments per se, but the data collected from a meteorological station at Governor Head. This Steedman EMS-16 meteorological station housed a R.M. Young anemometer and YSI barometer to measure wind and atmospheric pressure respectively. The site at Governor Head was several hundred metres inland of 50m high cliffs and was 63m above sea-level.
Wind data was also collected from an anemometer located at Huskisson, on the west shore of Jervis Bay. This anemometer was operated at the time by the NSW Public Works Department.
As this is a parent record, no data is available to download. A pdf outlining the structure and hierarchy of metadata records relating to this project is available through this record. Also provided is a pdf of a working paper that describes the operating and data processing procedures that relate to the meteorological station. There are 36 subsiduary records that directly relate to this parent, through which the data is provided (see hierarchical tree).

Tags: Oceans | Ocean Circulation | Ocean Currents, Oceans | Ocean Temperature | Water Temperature, Oceans | Salinity/density | Salinity, Oceans | Tides | Tidal Currents
Organization: Australian Ocean Data Network
WAMSI Node 4.3.2 - Ecosystem Modelling - Overall

Two modelling approaches are being used in this study, i.e. a quantitative modelling and a qualitative modelling approach.
They are being developed for the estuarine ecosystems of the Swan River, Peel-Harvey and Leschenault estuaries will be used to explore how environmental changes arising from both anthropogenic and non-anthropogenic factors are likely to affect those ecosystems.  The models will also be used to assess the potential to ameliorate adverse impacts through management actions

Tags: Biosphere | Aquatic Habitat | Estuarine Habitat, Biosphere | Ecological Dynamics | Food-web Dynamics, Biosphere | Zoology | Fish, Ecopath, Ecosim, Ecospace, qualitative model, quantitative model, loop analysis
Organization: Australian Ocean Data Network
Wind statistics at Governor Head Meteorological Station, Jervis Bay in August 1989

This dataset is a component of the 'Jervis Bay Baseline Studies' project conducted by the Department of Defence, CSIRO and the Australian Defence Force Academy.
The meteorological station (35.133S, 150.762E) recorded winds and atmospheric pressure at Governor Head (Jervis Bay). The site is several hundred metres inland of 50m high cliffs and is 63m above sea-level.
This record provides wind statistics for August 1989. Five datasets are included here representing different times of the day: 0000-0550, 0600-1150, 1200-1750 and 1800-2350. Individual measurements have been converted so that trends of wind speed and direction can be seen for the time period in question. The fifth dataset incorporates all the wind data collected irrespective of time providing a monthly summary. The station initially recorded wind data at 10 minute intervals.
This is one of thirty-six child records that relate to the parent, 629051e0-2b7b-11dd-a343-00188b4c0af8. A pdf outlining the structure and hierarchy of metadata records relating to the 'Jervis Bay Baseline Studies' project is available to download through this record. Meteorological data was collected to investigate wind forced circulation in Jervis Bay, NSW.

Tags: Atmosphere | Atmospheric Winds | Surface Winds, date, time, wind_from_direction, wind_speed
Organization: Australian Ocean Data Network
Fish and benthic community surveys of reefs in the Arabian Gulf, Saudi Arabia

Ten reefs were chosen to represent those possibly affected by the 1991 Oil Spill, including both nearshore and offshore reefs, and those outside the area of impact of the spill (controls). These reefs were: Safaniyah GOSP 4, Khafji, Nearshore Safaniyah, Manifa, Musallamiyah, Abu Ali (Control), Tarut Bay (Control), Karan Island, Jana Island, and Jurayd Island (Control).
At each reef, three sites were selected, and at each site, up to three permanent transects were established using 1 m long metal stakes hammered into the seabed, and marked by subsurface floats. Several divers hammered in a 50 cm metal stake to permanently mark the 50 m transects. Transects were established at three main depths, 3, 6 and 9 m, in order to gain a representative sample of the different growth forms that occur. Some of the reefs surveyed, especially nearshore reefs, were relatively flat with little depth variation, therefore transects were established at only one or two different depths. A total of 62 transects were established covering a total distance of 3.1 km.
At each of the ten surveyed coral reef sites the following data were collected:
Standard general site observations for each site including the following:

GPS coordinates,

Abundant organisms,

Evidence of fishing or anchor damage,

Reef health including coral bleaching, and

Water clarity.

Temperature, salinity, and dissolved oxygen at surface, and transparency as measured by Secchi disk;

Fish species and estimated lengths along 52 transects among the ten coral reef sites;

Video of benthic species along 62 transects among the ten coral reef sites;

Coral species were identified along and coral size class was recorded;

Collected coral cores from four reef sites (one control and three potentially impacted sites);

Habitat characterization: e.g., presence and density of sea urchin, presence of damaged or diseased corals, bleaching, crown-of-thorns starfish;

Rugosity measurements; and

Collected sediment samples from each transect for total petroleum hydrocarbons (TPH), polycyclic aromatic hydrocarbon (PAH), total organic carbon (TOC), heavy metals, and grain-size analyses.

The main objective of the study was to assess the degree of damage sustained by Saudi Arabia&#39;s Arabian Gulf coral reef ecosystems from the 1991 Gulf. Further specific objectives of the study included the following:
1) Assess the long-term effects of the 1991 oil spill on the coral reefs of the Saudi Gulf waters.
2) Assess the potential for rehabilitation of damaged reefs (if any) or the potential losses suffered by the Kingdom.
3) Compare coastal and offshore coral reefs within the area impacted by the 1991 Gulf War oil spill to reefs located outside that area.

Organization: Australian Ocean Data Network
Tropical Cyclones, A Satellite Perspective: CIMSS / University of Wisconsin-Madison

The CIMSS Tropical Cyclone webpage helps achieve these goals by providing near real-time imagery, derived atmospheric analysis products, and TC intensity estimates from a variety of different satellite platforms for global analysis of TCs and their surrounding environments. Many of the products from CIMSS are developed specifically for use by TC forecasters worldwide to provide unique information in support of their specific TC forecasting missions.

Tags: Atmosphere | Atmospheric Phenomena | Cyclones, Atmosphere | Atmospheric Phenomena | Hurricanes, Atmosphere | Atmospheric Phenomena | Storms, Atmosphere | Atmospheric Phenomena | Typhoons, Atmosphere | Atmospheric Pressure | Atmospheric Pressure, Atmosphere | Atmospheric Temperature | Air Temperature, Atmosphere | Atmospheric Winds | Surface Winds, Atmosphere | Atmospheric Winds | Vertical Wind Motion, Atmosphere | Atmospheric Winds | Vorticity, Atmosphere | Atmospheric Winds | Wind Shear, WORLD OCEAN, air_pressure, barometric pressure, infrared imagery, satellite imagery, storm location, tropical cyclone, wind speed, wind_speed
Organization: Australian Ocean Data Network
CSIRO-Mk3-6-0 model output prepared for CMIP5 sstClim

sstClim 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.
6.2a sstClim (6.2a Control SST Climatology) - Version 1: AMIP-style experiment with control run climatological SSTs and sea ice.
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
NESP TWQ Project 2.3.2 - ‘Human sensors’ for monitoring GBR environmental changes and quality of marine waters through harnessing Big Data analysis, 2016-2017 (GU)

This project will take a novel approach to improving monitoring of environmental and aesthetic conditions in real time by capitalising on information provided through micro-blogs from visitors to the Great Barrier Reef. The data mining will integrate human sensing data (e.g. twitter) with existing monitoring data (including the ‘eye on the reef’), meteorological data, tourism statistics, and others dispersed data sources and a cost-effective monitoring tool will be made available to stakeholders. All Great Barrier Reef stakeholders will benefit greatly from this innovative monitoring system.

Tags: National Environmental Science Programme Tropical Water Quality (NESP TWQ) hub, marine
Organization: Australian Ocean Data Network
Measurement of filtering rates of the salp, Thalia democratica, from the Great Barrier Reef lagoon

Measurements of the feeding rates of a salp, Thalia democratica, were made using an experimental perspex chamber deployed during 12 dives off Cape Cleveland, in the Great Barrier Reef lagoon. Zooplankters were captured in the chamber, 50 ml of labelled suspended particles were injected into it, mixed, and then 20 ml drawn out for sampling. After 30 mins, a second 20 ml sample was made.Upon return to the laboratory, both samples were sorted, measured (length) using a dissecting microscope, and identified.Salps were placed in scintillation vial either singly or in small groups of the same size. The d.p.m of 14C and 3H was determined and the filtering rate calculated (ml/salp-hr).
 To test a method for measuring rates of feeding by the salp, Thalia democratica, on phytoplankton and bacteria.
 Phytoplankton cultured for experiment were: Isochrysis galbana, Pavlova (Monochrysis) lutheri and Thalassiosira pseudonana. Bacteria were: Vibrio alginolyticus, and on one occasion Serratia marcescens.

Organization: Australian Ocean Data Network
Photograph of a topographic rip at South Curl Curl, NSW

This photograph illustates the typical topographic rip located next to the saltwater swimming pool at South Curl Curl, NSW. The rip is identifiable in the region of non-breaking waves and deeper water. NOTE: The coastal environment is very dynamic and as a result the strength and position of the rip are subject to change.

Tags: Oceans | Tides | Tidal Currents
Organization: Australian Ocean Data Network
Phytoplankton concentration measurements in Sydney Harbour - 26th October 2004

A study of the response of phytoplankton to rainfall in Sydney Harbour on 26th October 2004 is reported here. 
Sydney Harbour is an important port and recreational region for the city of Sydney. Phytoplankton can be used as one of the indexes of water quality. The concentration of phytoplankton is influenced by the nutrients in the water and the amount of nutrients is thought to alter according to the urban and industrial wastes that drain from the city of Sydney.    
The amount of phytoplankton before and after rainfall at Pyrmont in Sydney Harbour was observed. The concentration of chlorophyll after a period of rainfall from the 15th October to the 4th of November 2004, as measured from the surface to 7m deep, was almost 5 times as much as that as before the rain event. The maximum chlorophyll concentration observed by fluorometer was 27 [ug/litre].

Tags: Biosphere | Microbiota | Phytoplankton, Oceans | Ocean Optics | Turbidity, Oceans | Water Quality | Chlorophyll, chlorophyll concentration, depth, mass_concentration_of_chlorophyll_in_sea_water, phytoplankton count, taxonomic_group_count
Organization: Australian Ocean Data Network
The comparative biogeography of Australian Symbiodinium

Project Description
To; assess the diversity of Symbiodinium within the tissues of host invertebrates, expand our understanding of the tolerance ranges of these reef invertebrates, assess whether symbiont diversity from these species differs dramatically from their Pacific and Western Indian Ocean counterparts, assess the level of connectivity along the WA coast as well as ocean-wide.

Tags: Biosphere | Ecological Dynamics | Symbiosis, Biosphere | Zoology | Corals, Diversity
Organization: Australian Ocean Data Network
Periodic and continuous thermal selection of Durusdinium trenchii

We investigated how 1) the selection of a coral photoymbiont under fluctuating temperatures compared to continuous selection under elevated temperatures and 2) the frequency of temperature oscillations influenced adaptation.
To this end, we exposed a Durususdinium trenchii culture (SCF086.01) to five temperatures profiles: diurnal fluctuations between an ambient and elevated temperature, fluctuations every 2-3 generations, fluctuations every 4-5 generations, continuous exposure to elevated temperatures and continuous exposure to an ambient temperature. We measured the growth performances of D. trenchii lineages to their respective selection strategies for 2.1 years. After 2.1 years of experimental evolution, we characterised the adaptive responses of the heat-evolved lineages at a range of temperatures (21-31&deg;C) and contrasted these to wild-types. We measured growth rates, oxidative stress, photochemical efficiency, photosynthesis and respiration rates.
This dataset contains the data collected during the experimental evolution and thermal performance assay. The experiments and measurements were carried out at the Symbiont Culture Facility at AIMS between 11.11.2020 and 20.04.2023.

Organization: Australian Ocean Data Network
SAIMOS - Biological and Flow Cytometry data collected from CTD stations in South Australia, in November 2020

Flow cytometry data was collected in November 2020, 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
Optimising sample sizes for animal distribution analysis using tracking data

Knowledge of the spatial distribution of populations is fundamental to management plans for any species. When tracking data are used to describe distributions, it is sometimes assumed that the reported locations of individuals delineate the spatial extent of areas used by the target population.
Here we examine existing approaches to validate this assumption, highlight caveats, and propose a new method for a more informative assessment of the number of tracked animals (i.e. sample size) necessary to identify distribution patterns. We show how this assessment can be achieved by considering the heterogeneous use of habitats by a target species using the probabilistic property of a utilisation distribution. Our methods are compiled in the r package SDLfilter.

We illustrate and compare the protocols underlying existing and new methods using conceptual models and demonstrate an application of our approach using a large satellite tracking dataset of flatback turtles Natator depressus tagged with accurate Fastloc-GPS tags (n = 69).

Our approach has applicability for the post hoc validation of sample sizes required for the robust estimation of distribution patterns across a wide range of taxa, populations and life-history stages of animals.


Organization: Australian Ocean Data Network
Coral Sea - Cassowary Seamount - Geomorphology and Surface Classification

Voyage IN2019_V04 contributed an additional 29,000 kms2 of seafloor survey data to the Coral Sea knowledge base. From this new bathymetric data individual seamounts have been extracted and have been classified to the Geoscience Australia Geomorphology Classification Scheme. This dataset contains two layers representing the classification layers- 1) Surface (Plain, Slope, Escarpment) and 2) fine scale Geomorphology of the seamount for the Cassowary Seamount.
Ongoing research with this survey data will provide new insights into the detailed geomorphic shape and spatial relationships between adjacent seabed features. This information will be released in future publications to show the potential of how the scale of such seafloor data can be used for predictive habitat modelling when analysed with the biological data overlays.

Organization: Australian Ocean Data Network