AndreaBozzo/ceres-open-data-index huggingface dataset:
WAMSI 2 - Dredging Node - Project 7.2 - Effects of Dredging Related Pressures on Critical Ecological Processes for Coral - SYNCHRONY REVIEW, Western Australia

Project 7.2 Synchrony Review: The objective of this component is to identify the degree of synchrony of coral spawning in WA and whether there is temporal and spatial variation in the timing of spawning and whether there are any differences in spawning synchrony between turbid-water (typically inshore) and clearwater (typically offshore) coral communities. Spawning patterns in WA will be contrasted with spawning pattern in the GBR as part of this review. The purposes of the review is to allow the development of a protocol/procedure for assessing coral community reproductive output over the course of a year - i.e. how to collect and examine corals in the field (and sample corals for inspection under a microscope) and assess when coral spawning will occur. The protocol will also outline how to use this information (in combination with survey techniques) to produce a Coral Spawning Environmental Window Index to assess when coral spawning is likely to occur at a location and the significance of the spawning window given the local community composition (i.e. the risk of not observing the spawning window).
 A review will be conducted of reproductive process of corals in WA and will involve collating and interpreting all available information in scientific literature with a view to describing the current state of knowledge. Significant amounts of relevant information on the reproductive status of corals have been collected during several large scale dredging projects (associated with identifying when multi-specific mass spawning of corals may occur and when dredging should cease under the ministerial conditions). Some of this data is publically available (and has already been collated under the WAMSI Dredging Science Node Theme 1), but data collected during dredging programs will reside with the owners (the dredging proponents). Attempts will be made to access this data via Theme 1 of the Dredging Science Node and ultimately to synthesize this information and incorporate it into the review. Development of the protocol is a desktop exercise and will be informed by the reviews.

Organization: Australian Ocean Data Network
Nutrient regulated thermal tolerance in corals from the Great Barrier Reef

A 90-day long experiment was conducted to understand the link between turbid nutrient-enriched conditions and elevated temperature condition, and their effects on corals. The objective of the experiment was to determine whether corals exposed to coastal water containing terrestrial runoff and sediment resuspension (nutrient enriched waters) increase protection against or increased sensitivity to the effects of thermal stress. Conditions in the experiment simulated realistic levels of elevated nutrients, sediments and heat stress found on coastal waters.
Colonies of two common scleractinian corals (Acropora millepora and Montipora tuberculosa) were collected from inshore reefs of the central Great Barrier Reef. Colony fragments were sourced from 2 - 4 meters depth. Acropora Millepora were sourced from Pelorus Island and Double Cone Islands, and Monitpora tuberculosa were sourced from Magnetic Island. 
Samples were kept in coastal seawater, or organically and nutrient enriched coastal seawater (OE), and/or enriched with nitrate. Samples were acclimatised for 10 days, before temperature conditions gradually increased from 27&deg;C to 31.2&deg;C. After 3&ndash;7 weeks of heat stress, recovery after ending heat stress was also observed up to 31-38 days. Effects on both species were determined and quantified as differences in survival, photophysiological stress and recovery, and skeletal growth rates. 
This study was jointly funded by the Australian Institute of Marine Science, the Australian Government&rsquo;s Marine and Tropical Sciences Research Facility, and the Australian Government&rsquo;s National Environmental Research Program.

Organization: Australian Ocean Data Network
Manly Hydraulics Laboratory - Sydney Offshore Wave Data Buoy (WAVESYD)

This is a metadata record for the Sydney offshore wave data buoy (station code WAVESYD) operated by Manly Hydraulics Laboratory (MHL), NSW Office of Environment and Heritage (OEH). The buoy is moored off Sydney at a water depth of approximately 85m.
This metadata record includes a down-loadable .pdf summary document which includes a map with numbered deployment locations and a listing of deployment number, location, water depth and deployment period.
The Sydney buoy is a direction capable wave-rider buoy made by the Dutch company Datawell. The Directional Waverider buoy utilises a heave-pitch-roll sensor, two fixed X and Y accelerometers and a three axis fluxgate compass to measure both vertical and horizontal motion.  An on-board processor converts the buoy motion to three orthogonal (vertical, north-south, east-west) translation signals that are transmitted to the shore station.  The directional spectrum is also routinely transmitted to the receiving station for further processing. This buoy also collects sea surface temperature (SST) data from thermistors that are mounted inside the hull of the buoys, at the base of the buoy about 0.5m below the water surface. The wave and SST data are stored on the receiving station PC before routine transfer to Manly Hydraulics Laboratory via email.

Tags: Oceans | Ocean Temperature | Sea Surface Temperature, Oceans | Ocean Waves | Significant Wave Height, Oceans | Ocean Waves | Wave Period, Oceans | Ocean Waves | Wave Spectra, Oceans | Ocean Waves | Wave Speed/direction, sea_surface_wave_from_direction, sea_surface_wave_maximum_wave_height, sea_surface_wave_mean_crest_period, sea_surface_wave_mean_wave_height, sea_surface_wave_mean_wave_height_of_top_one_tenth, sea_surface_wave_period_at_second_largest_peak_of_variance_spectral_density, sea_surface_wave_period_at_variance_spectral_density_maximum, sea_surface_wave_root_mean_square_amplitude_from_variance_spectral_density, sea_surface_wave_root_mean_square_wave_height, sea_surface_wave_significant_height, sea_surface_wave_significant_wave_period, sea_surface_wave_variance_spectral_density_zeroth_frequency_moment, sea_surface_wave_zero_upcrossing_period, sea_water_temperature
Organization: Australian Ocean Data Network
IMOS - Ocean Gliders - Slocum glider deployment in Western Australia off Pilbara (Feb - March 2012)

The dataset contains temperature, salinity and biological parameters like for example dissolved oxygen and turbidity data measured by a Slocum glider in the region off Pilbara (Western Australia).
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) | 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
Manly Hydraulics Laboratory - Crowdy Head Offshore Wave Data Buoy (WAVECRH)

This is a metadata record for the Crowdy Head offshore wave data buoy (station code WAVECRH) operated by Manly Hydraulics Laboratory (MHL), NSW Office of Environment and Heritage (OEH). The buoy is moored off Crowdy Head at a water depth of approximately 80m.
This metadata record includes a down-loadable .pdf summary document which includes a map with numbered deployment locations and a listing of deployment number, location, water depth and deployment period.
Data from October 1985 to August 2011 was gathered by the Waverider system developed by the Dutch company, Datawell. The Waverider system uses an accelerometer mounted in a loose tethered buoy (0.7 or 0.9m in diameter) to measure the vertical accelerations of the buoy as it moves with the water surface. The accelerations are integrated twice within the buoy and the displacement signal so obtained is then transmitted to a shore station where it is processed to provide wave data statistics. 
In August 2011, the station was upgraded with a Datawell Directional Waverider buoy. The Directional Waverider buoy utilises a heave-pitch-roll sensor, two fixed X and Y accelerometers and a three axis fluxgate compass to measure both vertical and horizontal motion. An on-board processor converts the buoy motion to three orthogonal (vertical, north-south, east-west) translation signals that are transmitted to the shore station. The directional spectrum is also routinely transmitted to the receiving station for further processing. This buoy also collects sea surface temperature (SST) data from thermistors that are mounted inside the hull of the buoys, at the base of the buoy about 0.5m below the water surface. The wave and SST data are stored on the receiving station PC before routine transfer to Manly Hydraulics Laboratory via email.

Tags: Oceans | Ocean Temperature | Sea Surface Temperature, Oceans | Ocean Waves | Significant Wave Height, Oceans | Ocean Waves | Wave Period, Oceans | Ocean Waves | Wave Spectra, Oceans | Ocean Waves | Wave Speed/direction, sea_surface_wave_maximum_wave_height, sea_surface_wave_mean_crest_period, sea_surface_wave_mean_wave_height, sea_surface_wave_mean_wave_height_of_top_one_tenth, sea_surface_wave_period_at_second_largest_peak_of_variance_spectral_density, sea_surface_wave_period_at_variance_spectral_density_maximum, sea_surface_wave_root_mean_square_amplitude_from_variance_spectral_density, sea_surface_wave_root_mean_square_wave_height, sea_surface_wave_significant_height, sea_surface_wave_significant_wave_period, sea_surface_wave_variance_spectral_density_zeroth_frequency_moment, sea_surface_wave_zero_upcrossing_period, sea_water_temperature
Organization: Australian Ocean Data Network
WAMSI 2 - Dredging Node - Project 6.1 - Defining Thresholds and Indicators of Filter-feeder Response to Dredging Related Pressures - LITERATURE REVIEW, Western Australia

Project 6.1 - Literature review: A review that will synthesize the available scientific literature on the effects of dredging-related pressures on sponge communities using contemporary knowledge of the water quality conditions that occur during dredging projects. Sponges have been targeted due to their significance as benthic habitat formers in WA, whilst recognizing that other components of the filter feeder communities (e.g. ascidians) require examination once more funding becomes available.
 The objective is to summarize and critically assess all available information on the effects of dredging-related impacts on sponges in context to a contemporary understanding of related impacts. We will provide a detailed synthesis on the state of knowledge that will facilitate the identification of the most significant gaps in knowledge, assist research planning and enable us to place experimental and field data into a larger context for predictions about pressure responses. This review will be based on scientific papers, but also on unpublished literature such as project reports and grey literature.

Organization: Australian Ocean Data Network
RAN CTD Profile Data - HMAS MELVILLE ProjectID: HI475MEL_M From: 2010-05-17 To: 2010-05-25

This dataset contains quality controlled vertical profiles of pressure, temperature and salinity measured by a Conductivity, Temperature and Depth (CTD) probe. The dataset contains 198 CTD profiles (casts) obtained during RAN Hydrographic Survey cruise HI475MEL_M from HMAS MELVILLE.
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
Nephelometer data sets for 14 sites around Cleveland Bay - 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: Nephelometer, Oceans | Marine Sediments | Turbidity, Oceans | Water Quality | Suspended Solids
Organization: Australian Ocean Data Network
Time-series data from the Mid-Spencer gulf: Experiment 1: 1985-1986

This record describes data from the first long-term, systematic oceanographic measurements in Spencer Gulf, South Australia. The seasonal variations of temperature and salinity, from both large-scale CTD (conductivity-temperature-depth) surveys and time-series observations at a fixed station, reveal the manner in which the gulf responds to seasonal influences.

Tags: Atmosphere | Atmospheric Winds | Surface Winds, Atmosphere | Radiation Budget | Net Radiation, Oceans | Ocean Circulation | Ocean Currents, Oceans | Ocean Temperature | Water Temperature, Oceans | Salinity/density | Conductivity, Oceans | Sea Surface Height | Water Depth, depth, direction_of_sea_water_velocity, net_radiation, sea_water_electrical_conductivity, sea_water_pressure, sea_water_speed, sea_water_temperature, wind_from_direction, wind_speed
Organization: Australian Ocean Data Network
Juvenile shark occurrence inferred from baited remote underwater video surveys Northwest Australia (2003-2013)

This dataset describes the predicted occurrence of juvenile sharks around Northwest Australia, mapped over a 0.01 degree spatial grid. Juvenile sharks were mapped at two taxonomic levels: order by including all juvenile sharks sampled (all juveniles) and species by considering the three most abundant species sampled separately (grey reef (Carcharhinus amblyrhynchos), sandbar (Carcharhinus plumbeus), and whitetip reef (Triaenodon obesus) sharks).  The data cover the period 2003-2013 and are derived from an analysis of count data derived from baited remote underwater videos deployed through various sampling programs. Further detail can be found in the following peer-reviewed publication: Oh, BZL, Sequeira, AMM, Meekan, MG, Ruppert, JLW and Meeuwig, JJ (2017), Predicting occurrence of juvenile shark habitat to improve conservation planning. Conservation Biology, 31: 635–645. doi:10.1111/cobi.12868
Below is a full list of species, with contributions to the total counted (%):
Silvertip shark / Carcharhinus albimarginatus – 4.14%
Grey reef shark / Carcharhinus amblyrhynchos – 28.06%
Bronze whaler / Carcharhinus brachyurus – 0.18%
Galapagos shark / Carcharhinus galapagensis – 0.09%
Bull shark / Carcharhinus leucas – 0.18%
Common-Australian blacktip shark / Carcharhinus limbatus-C.tilstoni – 1.38%
Blacktip reef shark / Carcharhinus melanopterus – 1.56%
Sandbar shark / Carcharhinus plumbeus – 4.78%
Spot-tail shark / Carcharhinus sorrah – 0.18%
Tiger shark / Galeocerdo cuvier – 2.39%
Sliteye-Sharpnose shark / Loxodon macrorhinus-Rhizoprionodon spp. – 6.35%
Lemon shark / Negaprion acutidens – 1.01%
Whitetip reef shark / Triaenodon obesus – 18.95%
Tawny shark / Nebrius ferrugineus – 0.83%
Grey carpetshark / Chiloscyllium punctatum – 1.38%
Taselled wobbegong / Eucrossorhinus dasypogon – 0.09%
Scalloped hammerhead / Sphyrna lewini – 0.46%
Great hammerhead / Sphyrna mokarran – 3.86%
Zebra shark / Stegostoma fasciatum – 0.83%
Sicklefin houndshark / Hemitriakis falcata – 1.01%
Grey gummy shark / Mustelus ravidus – 0.28%
Archived BRUVS video files used in this study are the intellectual property of multiple institutions and industry partners and are not published in this record. See credits for further information.

Tags: Predicted occurrence of all juvenile sharks, Predicted occurrence of sandbar shark, Predicted occurrence of whitetip reef shark, Predicted ocurrence of grey reef shark, Sharks (Order Selachii), baited remote underwater video stations (BRUVS), marine protected areas, occurrence, wildlife distribution
Organization: Australian Ocean Data Network
2003 Habitat Maps derived from Grey Nurse Shark (GNS) Project of Wolf Rock, Double Island Point, Queensland, Australia

Surveying habitats critical to the survival of grey nurse sharks in South-East Queensland has mapped critical habitats, gathered species inventories and developed protocols for ecological monitoring of critical habitats in southern Queensland. This information has assisted stakeholders with habitat definition and effective management. In 2002 members of UniDive applied successfully for World Wide Fund for Nature, Threatened Species Network funds to map the critical Grey Nurse Shark Habitats in south east Queensland.
UniDive members used the funding to survey, from the boats of local dive operators, Wolf Rock at Double Island Point, Gotham, Cherub's Cave, Henderson's Rock and China Wall at North Moreton and Flat Rock at Point Look Out during 2002 and 2003. These sites are situated along the south east Queensland coast and are known to be key Grey Nurse Shark aggregation sites.
During the project UniDive members were trained in mapping and survey techniques that include identification of fish, invertebrates and substrate types. Training was conducted by experts from the University of Queensland (Centre of Marine Studies, Biophysical Remote Sensing) and the Queensland Parks and Wildlife Service who are also UniDive members. The monitoring methods (see methods) are based upon results of the UniDive Coastcare project from 2002, the international established Reef Check program and research conducted by Biophysical Remote Sensing and the Centre of Marine Studies.
This record describes the digitised habitat features for Wolf Rock. View the original metadata record at https://doi.pangaea.de/10.1594/PANGAEA.864211 for the full data collection.

Tags: benthic habitat, reef
Organization: Australian Ocean Data Network
Growth of Western Australian corals in the Anthropocene

Twenty-seven long cores were collected between October 2008 and September 2010 from massive Porites sp. colonies at six locations covering approximately 1000 km of the coast of Western Australia. The sampling locations included two reefs in the Rowley Shoals: Clerke Reef and Imperieuse Reef; three locations within the Ningaloo Reef Tract: Bundegi, Tantabiddi and Coral Bay; and the Houtman Abrolhos Islands.All sampled colonies were While some cores extended back to the 18th century, focus was on the period 1900-2010, which was common to the majority (70%) of cores, and provided sufficient replication at each location and overlap with instrumental SST observations. Average monthly SST were obtained from the HadISST 1.1 database, available from the British Atmospheric Data Centre.Calcification anomalies were calculated for each core as the percent difference between the annual calcification rate and the long-term average for the period 1900-2010. Calcification anomalies were then averaged for each six locations and for all 27 cores. Linear regression (Generalized Linear Model (GLM) and non-linear regression (Generalized Additive models were used to examine the influence of time, SST and location on the calcification average and anomaly data. All models were analysed using the statistical package R.
 This research was undertaken to:1. determine if there have been significant changes in calcification rates in coral reefs in Western Australia over time2. determine if there is any relationship between any changes calcification rates and observed changes in sea surface temperature (SST).

Organization: Australian Ocean Data Network
IMOS - Deep Water Moorings - Southern Ocean Time Series (SOTS) Sub-Facility, Pulse 5 Mooring Platform (Oct 2008 to Apr 2009)

Two 'Pulse' mooring platforms were deployed on the 5/10/2008, a 'Light' model and a 'Heavy' model mooring.
Instruments on the mooring collect the parameters listed in the lineage field, below.
Attached are the data files of those readings, as well as graphed results and some animations of the movement of the PULSE over time.
Background:
Moored instruments are deployed by the IMOS SOTS facility for time-series observations of physical, biological, and chemical properties, in the Sub-Antarctic Zone southwest of Tasmania , with twice-yearly servicing. 
These time-series observations are crucial to resolving ecosystem processes that affect carbon cycling, ocean productivity and marine responses to climate variability and change, ocean acidification and other stresses. 
This is one of only 29 high temporal resolution sites identified globally and 1 of 3 proposed for the Southern Ocean. 
Pulse is a platform still under development. The design challenge for Pulse is not only to create a surface mooring that can endure the Southern Ocean but one that dampens the accelerations the surface float experiences enough so that the water sampler and biogeochemical sensors can function and survive long deployments.

Tags: Global / Oceans | Southern Ocean, IMOS Facility | Deep Water Moorings, IMOS Platform | PULSE5H | Pulse 5'heavy' Mooring, IMOS Platform | PULSE5L | Pulse 5'light' Mooring, Oceans | Marine Biology, Oceans | Ocean Chemistry, Oceans | Ocean Circulation | Ocean Currents, Oceans | Ocean Heat Budget, Oceans | Ocean Temperature, Oceans | Ocean Waves, Oceans | Ocean Winds, Solid Earth | Geochemistry | Biogeochemistry, acceleration, tension, voltage
Organization: Australian Ocean Data Network