AndreaBozzo/ceres-open-data-index huggingface dataset:
Fish, shark, ray and benthos biodiversity surveys around remote Timor Sea Shoals

Cappo, Heyward, Speare GOALS: To map the benthic habitats, and record the associated fish, shark and ray faunas, of the major clusters of Timor Sea shoals at 3 depth zones : 20-30m, 40-60m and 90-110m. APPROACH: Towed camera footage and real-time seabed classifications [substratum,major benthic groups present (eg seagrass,sponge gardens, gorgonians, hard corals, occurrence of individual benthic animal (eg crabs, starfish, clams)] has been obtained from 3 shoals near Evans Shoal, 6 Karmt shoals and 6 Sahul shoals ; as well as 4 adjacent sites in 96-100m on the continental shelf. BRUVS have been deployed at these same 3 depth zones: 20-30m, 40-60m and 90-110m at 3 shoals near Evans Shoal, 6 Karmt shoals and 6 Sahul shoals; as well as 4 adjacent sites in 96-100m on the shelf. 6 BRUVS were set in a line and towed camera footage was obtained during 3 replicate tows amongst this set of BRUVS. Multivariate statistics will be used to explore associations amongst fish and the benthic habitats they are found in. HIGHLIGHTS TO DATE: · Shallows dominated by extraordinarily rich benthos down to &gt;70m · Shallows have moderately diverse fish faunas, lacking large economically-important sharks, serranids, lutjanids and lethrinids · Deepest zones have most abundant fauna of larger fish in these 3 families · Sharks notably absent c.f. other similar regions (eg Rowley Shoals), and most seen were pups · Several species of lutjanid and serranid recorded for first time in Aust. waters · New photographs obtained of species never filmed underwater before (eg Wattsia, Epinephelus morrhua) · Juvenile lethrinids abunadnt in dense seagrass beds at depth · Seagrass detritus visible down to 100m

Tags: Baited Remote Underwater Video Stations (BRUVS), Biodiversity, Biosphere | Aquatic Habitat | Benthic Habitat, Cameras | Video Cameras - underwater, Field Surveys | Underwater Surveys, Habitat Map, Oceans | Marine Biology | Fish, Oceans | Marine Biology | Marine Habitat, Oceans | Marine Biology | Marine Invertebrates, Oceans | Marine Biology | Marine Plants, Oceans | Ocean Temperature | Thermocline, Rays, Regional Seas | Timor Sea, Seagrass, Sharks
Organization: Australian Ocean Data Network
Australian Ocean Surface Waves Dataset from SAR

Sentinel-1 A and B satellites are part of Europe’s Copernicus Earth Observation program and carry identical C-band Synthetic Aperture Radar (SAR) instruments. Over open-ocean, they operate in wave mode and collect directional wave measurements globally. This dataset contains Sentinel-1 SAR directional ocean swell wave number spectra, spectral partitions and partition bulks in the Australasian region including the Pacific islands (note - this dataset also contains many along-track observations outside this region, and are included due to overlap with the region of interest), this mission has flown since 2014, with data delivered from July 2015. The data includes both delayed-mode and Near Real Time (NRT) data streams. Systematic surface wave acquisitions from Sentinel-1 began in July, 2015 with only Sentinel-1 A in orbit, and were increased with the addition of Sentinel-1 B, which started regular wave measurements from Oct, 2016. The delayed-mode data processed and delivered from Sentinel-1 platforms cover this time span through to Mar, 2022 and consists of daily netCDF files, while the NRT component of the dataset is producing a 6-hourly netCDF file for each platform (A and B)  and includes data that has been acquired in (approximately) the previous 24 hours.
The data have been homogenised to a single, easily usable format from inconsistent source product by removing various discrepancies such as inconsistencies in wave number bins and values, variables and erroneous measurements over land.
The ongoing IMOS (Integrated Marine Observing System) Surface Waves Sub-Facility SAR wave database is available through the Australian Ocean Data Network Portal (Delayed-mode data - https://portal.aodn.org.au/search?uuid=4680a155-07af-46ac-b026-151c4ed4f6d5 and NRT - https://portal.aodn.org.au/search?uuid=d833de94-313d-41bd-9278-bc5813e29949), the main repository for marine data in Australia. The data represented by this metadata record is a snapshot of the database at the time of this publication (June 2022), and has been assigned a DOI and will be maintained in perpetuity by the AODN.

Tags: Global / Oceans | Indian Ocean, Global / Oceans | Pacific Ocean, Global / Oceans | Southern Ocean, Oceans | Ocean Waves | Swells, Regional Seas | Tasman Sea, Surface Waves Sub-Facility, Integrated Marine Observing System (IMOS)
Organization: Australian Ocean Data Network
Abundance and distribution of coastal, inshore zooplankton in the Huon Estuary and D'Entrecasteaux Channel, Tasmania: Grazing study in North West Bay (1-2 October, 2006)

Mesozooplankton community composition and structure were examined throughout the D’Entrecasteaux Channel, Huon Estuary and North West Bay,  Tasmania. The data represented by this record was collected as part of a grazing study conducted in North West Bay (1-2 October, 2006).
The grazing impacts of microzooplankton and mesoplankton on the phytoplankton communities were examined during several process studies. Experiments with mesozooplankton grazers were restricted to dominant omnivorous copepods (e.g. Acartia tranteri, Paracalanus indicus, Centropages australiensis) cladocerans and appendicularians. Grazing rates of microzooplankton reached as high as 96% of daily primary production, while that of mesozooplankton herbivours was never greater than 20%. Trophic interactions between the species are complicated by the recent arrival of the heterotrophic dinoflagellate Noctiluca scintillans to the region. This species grazes heavily on phytoplankton, smaller zooplankton and faecal pellets. Noctiluca scintillans accounted for up to 20% of mesozooplankton abundance in autumn and it is capable of both suppressing zooplankton abundance and reducing the sedimentation of faecal pellets to the seafloor.

Tags: Clearance rate, Copepods, Grazing rates, Secondary productivity, Temperate Reef
Organization: Australian Ocean Data Network
Tantabiddi Currents, Ningaloo Reef

The Tantabiddi transect is a subset of and extension to measurements made in the NW Cape region over the summer of 1998/99. Intensive sampling occurred from March to May 1999 with more instrumentation available. Of note was Cyclone Vance, which passed through Exmouth Gulf in Late March 1999. The sites were re-occupied from March 2002 and will be recovered and possibly redeployed in November 2003. The siting of the moorings was made to enable monitoring of the Leeuwin current and the counter Ningaloo current, which is primarily wind-driven. The Leeuwin current intensifies significantly at NW Cape, so it is at a key location that will be useful to compare with other regional ocean current measurements.

Tags: Marine Features (Australia) | Leeuwin Current, Marine Features (Australia) | Ningaloo Marine Park, WA, Oceans | Ocean Circulation | Ocean Currents, Oceans | Ocean Circulation | Upwelling, Oceans | Ocean Circulation | Wind-driven Circulation, Oceans | Tides | Storm Surge, Oceans | Tides | Tidal Components, Oceans | Tides | Tidal Currents, Oceans | Tides | Tidal Height
Organization: Australian Ocean Data Network
Age vs Depth profile of core GC12, collected from the Capricorn Channel off the Eastern Australian Coast

A gravity core (GC12) was collected from a depth of 990.5 mbsl within the Capricorn Channel, southern Great Barrier Reef (GBR). Isotopic values for 18-O and 13-C were obtained from Globigerinoides ruber and correlated with the SPECMAP age-model. Radiocarbon dating of Globigerinoides sacculifer was also undertaken at nine sample depths, and then corrected and correlated with the curve. This yielded an age vs. depth profile from which it was possible to determine approximate sedimentation rates. From the age-model we see the evidence of MIS 1 through to 5a with sedimentation rates ranging from 2 cm/kyr to 20 cm/kyr, with an average of 10cm/kyr. This is a high sedimentation rate for a sedimentary basin, however the core is situated on the increased slope of the Capricorn Channel, therefore sediments scoured off the shallow gradient slope above may feasibly be focused at this depth on the slope. The sedimentation rate exhibits a unorthodox pattern, with a very high rate (25 cm/kyr) during the middle of MIS 3.

Tags: 51200000, Foraminifera, Foraminiferans, Foraminiferida, Oceans | Marine Sediments | Sedimentation, Paleoclimate | Ocean/lake Records | Isotopes, calibrated_age, conventional_C14_age, core_depth, error, sedimentation_rate
Organization: Australian Ocean Data Network
NESP TWQ Project 3.2.4 - Defining, assessing and monitoring Great Barrier Reef aesthetics, 2017-2017 (CSIRO)

A key criteria for inscription of the Great Barrier Reef as a World Heritage Area is Criteria (VII) – exceptional natural beauty &amp; aesthetic importance. Our project will work across social and ecological disciplines to identify, for the first time, indicators that will enable managers to measure and monitor aesthetic values for the GBRWHA. The outcomes will enable managers to predict and minimize aesthetic impacts below, at and above the water within the World Heritage Area, support implementation of the Reef 2050 Long-Term Sustainability Plan and improve decision processes relating to approvals, impact assessment, strategic planning, incident response and policy development. The indicators will be additionally tested using Artificial Intelligence via project 3.2.3.

Tags: National Environmental Science Programme Tropical Water Quality (NESP TWQ) hub, marine
Organization: Australian Ocean Data Network
Wind statistics at Governor Head Meteorological Station, Jervis Bay in February 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 February 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
Manly Hydraulics Laboratory - Coffs Harbour Offshore Wave Data Buoy (WAVECOH)

This is a metadata record for the Coffs Harbour offshore wave data buoy (station code WAVECOH) operated by Manly Hydraulics Laboratory (MHL), NSW Office of Environment and Heritage (OEH). The buoy is moored off Coffs Harbour at a water depth of approximately 70m.
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 May 1976 to February 2012 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 February 2012, 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
Gauging the effects of shellfish extract matrices, salts and pH upon performance of an assay for paralytic shellfish toxins using saxiphilin

In this study, a microtitre plate binding assay using a saxiphilin isoform [3H]STX from the centipede Ethmostigmus rubripes, was challenged with differing conditions of salt concentration and identity, pH and the addition of non-toxic extracts of commercial shellfish.Elements present (Na, K, Mg, Ca, Zn, Ni, Mn, Cr, Sr, Mo, Al, V, Fe, Cu, Pb, Co) in the shellfish extracts (green lipped mussel, Perna canalicularis; Sydney rock oyster, Saccostrea glomerata; and pipis, Donax deltoides) were measured by inductively coupled plasma spectroscopy. The effects upon the assay by the four most common salts of these elements, NaCl, KCl, CaCl2 and MgCl2 were studied by varying their concentrations (0-800 mM).The effect of pH upon the assay was measured by replacing the assay buffer in standard conditions with a buffer mixture of Tris (20 mM) -Mes (10 mM) -acetic acid (10 mM), adjusted with tetramethylammonium hydroxide or HCl to indicated pH which ranged from 3.4 to 9.0.
 To investigate the microtitre plate saxiphilin assay's ability to deal with potential interfering compounds from shellfish extracts, and the effect of acidic pH necessary for toxin stability when extracting PSTs from shellfish.

Organization: Australian Ocean Data Network
The Helix Experiment: Helix Reef physical oceanography, Great Barrier Reef: Current meter mooring HLX26

Two Aanderaa current meters were deployed on the mooring HLX26 located north-west of Helix Reef. Deployment Details:Deployment 1:Code: HLX26Instrument 1: RCM4 # 6801; Depth 14mInstrument 2: RCM4 # 6331; Depth 45mSampling Interval: 30 minutesDate Deployed: 27/10/1983Date Recovered: 22/03/1984Deployment 2:Code: HLX26Instrument 1: RCM4 # 7350; Depth 14mInstrument 2: RCM4 # 7369; Depth 45mSampling Interval: 30 minutesDate Deployed: 22/03/1984Date Recovered: 18/05/1984
 These current meters were part of an array of instruments deployed for the physical oceanographic component of the Helix Experiment.

Organization: Australian Ocean Data Network
Georges River CTD Data 10 September 1988

Twenty samples were collected at Georges River using a conductivity-temperature-depth (CTD) device on the 10th September 1988, for collection of water temperature and salinity data.

Tags: Oceans | Ocean Temperature | Water Temperature, Oceans | Salinity/density | Salinity, depth, sea_water_salinity, sea_water_temperature
Organization: Australian Ocean Data Network
Video transect monitoring data from Heron Island, southern Great Barrier Reef

Coral cover was estimated from fixed transects at five sites on the inner reef flat (A1, B1, C1, D1 and N1), five sites on the outer reef flat (A2, B2, C2, D2 and N2) and four sites on the lower reef slope (H1, H2, H3 and H4) at Heron Island in the southern Great Barrier Reef.
Surveys of the inner and outer reef flat were conducted at previously established monitoring sites. Transects were 30m long on the inner reef flat and 20m long on the outer reef flat. New sites were established on the lower reef slope at depths of 6-9m and transect lengths of 50 m were used. The number of transects per site was six on the inner reef flat, three on the outer reef flat and five on the lower reef slope. Video footage taken of each transect using standard methods was analysed by staff at the Australian Institute of Marine Science, using a point-sampling method to estimate coral cover.
Surveys were conducted in October 1993 (pre-bund wall), November 1994, 1995, 1996 and December 1997 for all sites, with an additional pre-bund wall sampling event at sites H1, H2 and H3 in February 1993.
Surveys were conducted to monitor the response of coral communities to the hydrodynamic and water level changes resulting from redevelopment of the bund wall at Heron Island, which took place between October 1993 and April 1994.
This study was part of a longterm video-monitoring program undertaken jointly by the Queensland Department of Environment and the Great Barrier Reef Marine Park Authority. Video analysis was done under contract by the Australian Institute of Marine Science.
Berkelmans, R, Oliver J, Byron G and Olds J (1997) Impact assessment of the Heron Island bund wall on coral communities. Reef Research 7(1): 6-9.
Berkelmans, R, Oliver J, Byron G and Olds J (1998) Heron Island: The history of the bund wall and an impact assessment of its 1993 redevelopment on nearby coral communities. In: Greenwood JG and Hall NJ (eds) Proceedings of the Australian Coral Reef Society 75th Anniversary Conference, Heron Island, October 1997. School of Marine Science, The University of Queensland, Brisbane.

Organization: Australian Ocean Data Network
IMOS - National Mooring Network - Victoria Bonney Coast Mooring

The Victorian Bonney Coast Mooring  (IMOS platform code: VBM100) is deployed in the Bonney Coast region off Cape Bridgewater (Victoria). The mooring is located at Latitude:-38.41, Longitude:141.27.
This region of the Victorian coastline has strong seasonal upwelling and supports one of the most productive regions of temperate Australian coastal waters. Not only does this region support large populations of migratory whales, fur seals, sharks, and bluefin tuna, it is also an important region from fisheries.

Tags: Biosphere | Microbiota | Plankton, Buoys | Moored Buoys, CTD (Conductivity-Temperature-Depth Profilers), Current Meters/Profilers | Acoustic Doppler Current Profiler (ADCP), Fluorometers, IMOS Platform | VBM100 | Bonney Coast Mooring, Oceans | Bathymetry | Water Depth, Oceans | Ocean Chemistry | Alkalinity, Oceans | Ocean Chemistry | Carbon Dioxide, Oceans | Ocean Chemistry | Inorganic Carbon, Oceans | Ocean Chemistry | Nutrients, Oceans | Ocean Chemistry | Oxygen, Oceans | Ocean Circulation | Ocean Currents, Oceans | Ocean Optics | Fluorescence, Oceans | Ocean Optics | Photosynthetically Active Radiation, Oceans | Ocean Optics | Turbidity, Oceans | Ocean Temperature | Water Temperature, Oceans | Salinity/density | Conductivity, acoustic_backscatter_intensity, adcp_correlation_magnitude, direction_of_sea_water_velocity, eastward_sea_water_velocity, heading, northward_sea_water_velocity, platform_pitch_angle, platform_roll_angle, quality_flag_for_adcp_percentage_good, sea_water_electrical_conductivity, sea_water_pressure, sea_water_speed, sea_water_temperature
Organization: Australian Ocean Data Network
Determining the grainsize of sediment with increasing depth in core GC09, located in the Capricorn Channel

A gravity core (GC09) was collected from a depth of 166m within the Capricorn Channel, southern Great Barrier Reef (GBR). Samples were separated into different size fractions to determine the % of each grainsize at each sample depth. Although not overly accurate, the information is correlated with analyses of other parameters to impart clues to the environmental changes within the core. This assembly of information suggests that the core reaches the Last Glacial Maximum (LGM) at ~60cm depth, with one indicator being the increase in fine grain material (&lt;100µm). The results also indicate fine grain dominance at a depth of 90cm.

Tags: Oceans | Marine Sediments | Sediment Grain Size, core_depth, grainsize_size_category
Organization: Australian Ocean Data Network
Nearshore wave characteristics as cues for swimming orientation in flatback turtle hatchlings

We used a wave flume to determine if flatback turtle (Natator depressus) hatchlings can detect and respond to wave cues and examined how different wave types influenced their orientation. A total of 55 hatchlings were collected from the field at Bell&rsquo;s Beach in the Pilbara region and flown to Perth for experiments. Trials were conducted on 2 nights (26 January and 29 January 2017). For each trial we examined the swimming direction of hatchlings in the flume in total darkness with no waves and two different wave types (sea and swell waves) with high (&gt; 0.10 m) and low (&lt; 0.08 m) wave height (Hs). A total of 11 hatchlings were released in each treatment. Each hatchling was placed in a harness with a tether which was attached to the centre of a bar placed horizontally across the flume ~20 cm above the water. The tether was long enough for hatchlings to swim in any direction without touching the side of the wave flume. Waves approached from 0&deg;. The trials were recorded using a downward facing infra-red (IR) video camera mounted directly above the bar. Hatchling orientation was assessed in relation to a compass with 10&deg; sections which was placed across the top of the flume walls directly above the tethering point to show orientation of hatchlings on the video. The footage was viewed via a live video link to a computer located outside of the darkened area and the orientation of the hatchling to the nearest 10&deg; was recorded every 30 s for a period of 5 min after a 2 min period of acclimation. Hatchlings oriented towards shorter period (3 s) sea waves with both small (6 cm peak to trough) and large (12 cm peak to trough) wave heights. Orientation of hatchlings to longer period (8 s) swell waves was variable; it only occurred with large (16 cm peak to trough) and not with small wave heights (7 cm peak to trough). Wave steepness (the ratio of wave height and wavelength) was the strongest predictor of variance in hatchling bearings and there was a positive relationship between wave steepness and consistency in orientation, with hatchling bearings more concentrated (r-value 0.98) towards the direction of waves when the steepest waves were present (sea waves with large wave heights). The waves in our steepest treatment were similar to sea waves generated from onshore winds, which was the most common type of wave we measured at a flatback turtle nesting beach. Our study has confirmed that despite lacking an oceanic development stage, flatback hatchlings, like other species of sea turtles, can detect and respond to wave cues, and that steepness may be a key characteristic of waves that drives orientation.

Organization: Australian Ocean Data Network