AndreaBozzo/ceres-open-data-index huggingface dataset:
RapidBenthos

Link to 12 3D photogrammetric models and underlying images to replicate the method presented in the publication titled &ldquo;RapidBenthos &ndash; Automated segmentation and multi-view classification of coral reef communities from photogrammetric reconstruction&rdquo;. These sites were selected to assess the performance of RapidBenthos in different environmental conditions and reef habitats, as they ranged from high visibility offshore reefs to turbid inshore reefs, spanned depths from 5 to 15 meters, and included a range of intra-reefal environments (i.e., reef front, flank, back, and lagoon).
All sites were imaged using a standardized diver-rig photogrammetry workflow described by Gordon et al. (2023). High-resolution benthic images (5686 x 3217 pixels) were captured using two Nikon D850 DSLR cameras with 20 mm Nikkor prime lens shooting at 0.5 second intervals (full camera settings described in (Gordon et al., 2023). Cameras were housed in Nauticam underwater housings with 8-inch dome ports and were mounted on an aluminium rig at a distance of 57 cm between lenses (60 % overlap between adjacent images, Figure 1c). Each site was imaged by a single diver on SCUBA over a period of 10-15 minutes to capture approximately 3,000 photos. Nadiral and oblique imagery was captured at an altitude of approximately 1.5 m using a &ldquo;lawn-mowing&rdquo; swim pattern consisting of 5 longitudinal passes and an additional 4-8 perpendicular passes. The swim pattern and speed used ensured a minimum overlap of 80 and 60 % between temporally and spatially adjacent photos, respectively (Figure 1d). Six GPCs were distributed across the depth gradient of the site prior imaging to scale resultant models in X, Y, and Z axes (details provided in(Gordon et al., 2023). Depth was also recorded for each GPC to incorporate bathymetric information into 3D model building.
The RapidBenthos workflow was applyed to each plots, segmenting and calssifying benthic constituents on the orthomosaics. This method resulted in extracting community compostion and colony-level metrics (i.e., colony planar-area and colony frequency). The significance of this research lies in devlopping a workflow that automatically extract community composition information from close-range photogrammetry in any coral reefs environment. We eveluated that our method was 195 time faster than manual segmentation and classification allowing to sustainably scale 3D photogrammetry mointoring, both in replication and size of reefs surveyed compared to manual data extraction.
Due to the large data files, the data can be accessed on request.

Organization: Australian Ocean Data Network
Identification of two-phase coral reef recovery patterns

This dataset is used to identify two-phase recovery patterns. These patterns result in a period of slow recovery following a major disturbance (coral cover reduced to &lt; 10%), and has serious implications for the potential of reef recovery if major disturbances occur at a frequency of 5 years or less. The coral cover data is extracted from the LTMP and MMP at the transect level, recovery trajectories are identified according statistically significant (p &lt; 0.05) declines using a paired t-test between subsequent surveys. Two-phase recoveries are identified through estimating the recovery rate per unit cover, coupled with a two-segment regression with change-point detection. Data driven simulation studies are performed to determine the impact of the two-phase recovery under different disturbance frequency regimes.

Organization: Australian Ocean Data Network
The Australian Phytoplankton Database (1844 - 2016) - abundance and biovolume (SUPERSEDED BY ONGOING COLLECTION)

There have been many individual phytoplankton datasets collected across Australia since the mid 1900s, but most are unavailable to the research community. We have searched archives, contacted researchers, and scanned the primary and grey literature to collate 3,665,221 records of marine phytoplankton species from Australian waters from 1844 to the present. Many of these are small datasets collected for local questions, but combined they provide over 170 years of data on phytoplankton communities in Australian waters. Units and taxonomy have been standardised, obviously erroneous data removed, and all metadata included. We have lodged this dataset with the Australian Ocean Data Network (http://imos.aodn.org.au/), allowing public access. The Australian Phytoplankton Database will be invaluable for global change studies, as it allows analysis of ecological indicators of climate change and eutrophication (e.g., changes in distribution; diatom:dinoflagellate ratios). In addition, the standardised conversion of abundance records to biomass provides modellers with quantifiable data to initialise and validate ecosystem models of lower marine trophic levels. This is a static snapshot of the database as at March 2016. To access subsequent additions in a dynamic database, please refer to the following metadata record https://catalogue-imos.aodn.org.au:443/geonetwork/srv/api/records/75f4f1fc-bee3-4498-ab71-aa1ab29ab2c0

Tags: Continents | Antarctica, Countries | Australia, Countries | Indonesia, Countries | New Caledonia, Countries | New Zealand, Countries | Papua New Guinea, Countries | Solomon Islands, Countries | Timor-Leste, Countries | Vanuatu, Global / Oceans | Indian Ocean, Global / Oceans | Pacific Ocean, Global / Oceans | Southern Ocean, Marine Features (Australia) | Bass Strait, TAS/VIC, Marine Features (Australia) | Great Australian Bight, SA/WA, Marine Features (Australia) | Great Barrier Reef, QLD, Offshore Islands (Australia) | Macquarie Island, Regional Seas | Arafura Sea, Regional Seas | Coral Sea, Regional Seas | Solomon Sea, Regional Seas | Tasman Sea, Regional Seas | Timor Sea, States, Territories (Australia) | New South Wales, States, Territories (Australia) | Northern Territory, States, Territories (Australia) | Queensland, States, Territories (Australia) | South Australia, States, Territories (Australia) | Tasmania, States, Territories (Australia) | Victoria, States, Territories (Australia) | Western Australia
Organization: Australian Ocean Data Network
CReefs Australia - Ningaloo, Western Australia

The CReefs Australia project is a collection of a variety of taxa from three locations: Ningaloo Reefs in Western Australia, and Heron and Lizard Islands off the coast of Queensland (separate metadata records are kept for each location) between 2008 and 2010. Sampling was conducted by scuba, snorkel and beach collection.In 2008, Ningaloo collections commenced from the vicinity of Tantabiddi Boat Ramp during 4-25 June (austral winter).In 2009, Ningaloo collections commenced from an area 100 km south of Exmouth, Point Cloade, during 13 May to 3 June.Variables in the dataset are: longitude and latitude, date, identifications (to genus species where possible), depth, coral reef zone, and other habitat indicators.Species collected come from the following taxonomic groups:Algae and seagrasses (phyla Chlorophyta, Ochrophyta, Rhodophyta, Magnoliophyta and Cyanobacteria)Arthropoda - Amphipods (Order: Amphipoda), Isopods (Order: Isopoda), Tanaids (Order: Tanaidacea)Bryozoans (Order: Cheilostomata)CrustaceaCnideria (Class: Anthozoa, Hydrozoa)Echinoderms (Phylum: Echinodermata)MolluscaPlatyhelminthaPolychates (Phylum: Annelida)SipunculaCollection was mainly by hand; some samples were obtained by traps, grabs, sediment pumps, hook and line, speargun.
 To conduct a taxonomic survey of Ningaloo Reef as part of the CReefs Australia project to better refine understanding of the marine biodiversity on the coral reefs of the east and west coasts of Australia.
 A subset of the data has been provided to the Ocean Biogeographic Information System (http://iobis.org/OBISWEB/DisplayMetaData.jsp?content=maps_and_metadata/1466.html).Identifications were made as follows:Algae and seagrasses, phyla Chlorophyta, Ochrophyta, Rhodophyta, Magnoliophyta and Cyanobacteria (Fred Gurgel, Rainbo Rita Mae Dixon)Arthropoda, Order Amphipoda (Lauren Elizabeth Hughes)Arthropoda, Order Isopoda (Neil Bruce)Arthropoda, Order Tanaidacea (Magdalena Blazewicz-Paskowycz)Bryozoa, Order Cheilostomata (Kevin John Tilbrook, Phil Bock)Cnideria Order Anthozoa, Hydrozoa (Merrick Ekins)Echinodermata (Ashley Miskelly)Mollusca (Clay Bryce, Corey Whisson)Platyhelmintha (Tom Cribb)Polychaeta, Phylum Annelida (Gavin Martin Daily, Chris Glasby, Maria Capa, Pat Hutchings)

Organization: Australian Ocean Data Network
IMOS - National Mooring Network - Passive Acoustic Observatories Sub-facility

This sub-facility manages the IMOS Passive Acoustic Observatories, each of which consists of two to four moored hydrophones and noise loggers. The noise loggers record sound emitted by natural processes in the ocean and sources of biological origin, such as marine mammals, crustaceans and fish, which have unique acoustic signatures. Through an analysis of these signals, it is possible to discriminate and identify different species and to assess the number of animals present within the range of acoustic observation, which can then be linked to ocean productivity. Large animals can also be located by a horizontal array of sea noise loggers constituting a passive acoustic observatory. IMOS operated acoustic observatories at four sites: 1) Perth Canyon in Western Australia, 2) off Portland in South Australia, 3) near Tuncurry (Forster) in New South Wales, and 4) west of Kangaroo Island in South Australia (these sites were decommissioned in 2017/2018). From 2012 - 2015 the following two sites were sampled, with the support of the West Australian Government: 1) near the Kimberley Coast in Western Australia, and 2) near the Pilbara Coast in Western Australia.

Tags: Biosphere | Zoology | Crustaceans, Coastal Cities / Towns (Australia) | Portland, VIC, Coastal Cities / Towns (Australia) | Tuncurry, NSW, Countries | Australia, Global / Oceans | Indian Ocean, Global / Oceans | Pacific Ocean, Marine Features (Australia) | Great Australian Bight, SA/WA, Marine Features (Australia) | Kangaroo Island, SA, Marine Features (Australia) | Perth Canyon, WA, Oceans | Marine Biology | Fish, Oceans | Marine Biology | Marine Mammals, Oceans | Ocean Acoustics | Ambient Noise, Passive Acoustic Listening Stations, Passive Acoustic Observing System, States, Territories (Australia) | New South Wales, States, Territories (Australia) | South Australia, States, Territories (Australia) | Western Australia
Organization: Australian Ocean Data Network
Ozone and mean Chlorophyll a Data collected for regions of the Southern Ocean from 1997-2000 for an honours project in ASAC project 2210

This study employs data from two satellite-borne instruments namely, the Sea-Viewing Wide Field-of-view Sensor (SeaWiFS) and the Total Ozone Mapping Spectrometer (TOMS).
This work was completed as part of an honours project under ASAC project 2210 (UV climate over the Southern Ocean south of Australia, and its biological impact).
Further information about the project is available in the word document available for download (extract from the honours thesis).
The fields in this dataset are:
Region
Year
Day (Julian Day)
Pixels (number of cloud free pixels from SeaWiFS sensor that were available for analysis)
Mean Chlorophyll (milligrams per cubic metre) (derived from cloud free pixels) Standard Deviation
Ozone (dobson units) from the TOMS sensor (average for whole region).

Tags: AMD, AMD/AU, ANTARCTICA, CEOS, CHLOROPHYLL, CHLOROPHYLL A, CONTINENT > ANTARCTICA, EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC CHEMISTRY > OXYGEN COMPOUNDS > ATMOSPHERIC OZONE, EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PIGMENTS > CHLOROPHYLL, GEOGRAPHIC REGION > POLAR, OCEAN > SOUTHERN OCEAN, OZONE, SATELLITES, SEAWIFS, SOUTHERN OCEAN, TOMS
Organization: Australian Ocean Data Network
Trace metal water column samples collected on the SIPEX II voyage of the Aurora Australis

This dataset will be comprised of measurements taken from trace metal water column samples collected during the SIPEX II Antarctic marine science voyage in 2012. In its current form no sample analysis has been performed. The dataset simply contains the log sheets for the Trace Metals Rosette (TMR) deployments as well as the output files from the TMR software (General Oceanics).
Water samples for dissolved trace metal measurements were collected from the surface (15m) down to the 1000m using an autonomous intelligent rosette system (General Oceanics, USA) specially adapted for trace metal work and deployed on a Dyneema rope. The rosette was equipped with 12x10-L Niskin-1010X bottles specially modified for trace metal water sampling. This system has been successfully deployed on the RSV Aurora Australis during voyages au0703 and au0806. Care was taken to avoid any contamination from the ship and the operating personnel. Water samplers were processed aboard under an ISO class 5 trace-metal-clean laminar flow bench in to a trace-metal-clean laboratory container on the ship's trawl deck. All transfer tubes, filtering devices and sample containers were rinsed liberally with sample before final collection. Samples were then drawn through C-Flex tubing (Cole Parmer) and filtered in-line through 0.2 micron pore-size acid-washed capsules (Pall Supor membrane, Acropak 200). Filtered and unfiltered samples were collected in acid-cleaned 125ml Nalgene LDPE bottles for analysis of dissolved trace metals. Samples were also collected for the determination of stable isotopes of nitrogen and carbon. As well, filtered samples were taken for macro-nutrient analysis in the lab (2 small vials per Niskin, frozen). 
Regular sampling depths were as follows: 1000m, 750m, 500m, 300m, 200m, 150m, 125m, 100m, 75m, 50m, 30m, 15m. 
At a subset of the SIPEX II ice stations, filtered samples were also collected for Iron(II) analysis aboard the ship by Christina Schallenberg (in the trace-metal-clean laboratory container), and unfiltered samples were collected for analysis of mercury and methyl-mercury by Caitlin Gionfriddo (caitlingio@gmail.com).

Tags: ACE/CRC, AMD, AMD/AU, CEOS, CONTINENT > ANTARCTICA, EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > TRACE ELEMENTS, GEOGRAPHIC REGION > POLAR, OCEAN > SOUTHERN OCEAN, R/V AA > R/V Aurora Australis, SIPEX II
Organization: Australian Ocean Data Network
Aurora Australis Voyage V2 2006/07 Track and Underway Data

This dataset contains the underway data collected during the Aurora Australis Voyage V2 2006/07 ().
Voyage Objectives :  Deploy CHINARE wintering and summer expeditioners and cargo. Davis changeover and retrieval. 
Voyage leader: Dave Tonna 
Underway (meteorological) data are available online via the Australian Antarctic Division Data Centre web page (or via the Related URL section).

Tags: AMD, AMD/AU, CEOS, CONTINENT > ANTARCTICA, EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE > SEA LEVEL PRESSURE, EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC RADIATION > SOLAR RADIATION, EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > AIR TEMPERATURE, EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR INDICATORS > HUMIDITY, EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > WIND DYNAMICS > CONVECTION, ECHO SOUNDERS, GEOGRAPHIC REGION > POLAR, MARINE, METEOROLOGY, OCEAN > SOUTHERN OCEAN, R/V AA > R/V Aurora Australis, SHIPS
Organization: Australian Ocean Data Network
2007-08 CEAMARC-CASO VOYAGE TRACE ELEMENT SAMPLING AROUND AN ICEBERG

We collected surface seawater samples using trace clean 1L Nalgene bottles on the end of a long bamboo pole.   We will analyse these samples for trace elements.  Iron is the element of highest interest to our group.  We will determine dissolved iron and total dissolvable iron concentrations.  
Samples collected from 7 sites:
Sites 1, 2, 3, 4 were a transect perpendicular to the edge of the iceberg to try and determine if there is a iron concentration gradient relative to the iceberg.
Sites 4, 5, 6 were along the edge of the iceberg to determine if there is any spatial variability along the iceberg edge. 
Site 7 was away from the iceberg to determine what the iron concentration is in the surrounding waters not influenced by the iceberg.

Tags: ACE/CRC, AMD, AMD/AU, CEAMARC, CEOS, EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > TRACE ELEMENTS, GEOGRAPHIC REGION > POLAR, OCEAN > SOUTHERN OCEAN, R/V AA > R/V Aurora Australis, SHIPS
Organization: Australian Ocean Data Network
Passive microwave derived corrected AMSR2 Antarctic sea ice motion dataset - 2017

This dataset is daily passive microwave-derived Advanced Microwave Scanning Radiometer 2 (AMSR2) Antarctic sea ice motion dataset, which is the version of rectified two problems exist in Kimura et al. (2013) sea ice motion product, with ascending (ASC), descending (DES) and combined datasets, which format is DAT file. It is produced at 60×60 km resolution on a regular 127×134 grid covering the entire Southern Ocean (40°~ 90° S, -180°~180° E), for the period of 2017-05-20 to 2017-11-26 (186 days) and 2018-04-08 to 2018-08-20 (135 days). These were calculated by applying the MCC method to 36 GHz, 10 km resolution AMSR2 Level-3 36 GHz TB images (both vertical and horizontal polarization) from the Japan Aerospace Exploration Agency (JAXA).
Included datasets:
latitude
- description: latitude of each gridded pixel
- dimensions: 2
- size: [127, 134]
longitude
- description: longitude of each gridded pixel
- dimensions: 2
- size: [127, 134]
u_weddell
- description: daily ASC, DES and combined u component of sea ice velocity on each pixel, from 2018-04-08 to 2018-08-20 covered entire central Weddell Sea buoy trajectory time-span, 135 days in total.
- dimensions: 4
- size: [127, 134, 135, 3] ([x coordinate, y coordinate, days, ASC/DES/combined])
v_weddell
- description: daily ASC, DES and combined v component of sea ice velocity on each pixel, from 2018-04-08 to 2018-08-20 covered entire central Weddell Sea buoy trajectory time-span, 135 days in total.
- dimensions: 4
- size: [127, 134, 135, 3] ([x coordinate, y coordinate, days, ASC/DES/combined])
u_ross
- description: daily ASC, DES and combined u component of sea ice velocity on each pixel, from 2017-05-20 to 2017-11-26 covered entire Ross Sea buoy trajectory time-span, 186 days in total.
- dimensions: 4
- size: [127, 134, 186, 3] ([x coordinate, y coordinate, days, ASC/DES/combined])
v_ross
- description: daily ASC, DES and combined v component of sea ice velocity on each pixel, from 2017-05-20 to 2017-11-26 covered entire Ross Sea buoy trajectory time-span, 186 days in total.
- dimensions: 4
- size: [127, 134, 186, 3] ([x coordinate, y coordinate, days, ASC/DES/combined])
Study domain: 40°~ 90° S, -180°~180° E
Time-scale: 24 h (for ASC and DES datasets) and 39 h (for combined dataset).
Time period: from 2017-05-20 to 2017-11-26 (186 days) and from 2018-04-08 to 2018-08-20 (135 days).
Variables and geographic projection detail are saved in the dataset as Readme.txt

Tags: AMD, AMD/AU, AMSR2 > Advanced Microwave Scanning Radiometer 2, CEOS, CONTINENT > ANTARCTICA, EARTH SCIENCE > CRYOSPHERE > SEA ICE > SEA ICE MOTION, EARTH SCIENCE > OCEANS > SEA ICE > SEA ICE MOTION, GCOM-W1 > Global Change Observation Mission 1st-Water, GEOGRAPHIC REGION > POLAR, OCEAN > SOUTHERN OCEAN
Organization: Australian Ocean Data Network
Geographic variations in underwater male Weddell seal Trills suggest breeding area fidelity

Adult Weddell seals (Leptonychotes weddellii) exhibit site fidelity to where they first breed but juveniles, and perhaps transient adult males, may disperse from their natal location. If there is mixing between adjacent breeding groups, we would expect that common vocalisations would exhibit clinal patterns. Underwater Trill vocalisations of male Weddell seals at Mawson, Davis, Casey, McMurdo Sound, Neumayer and Drescher Inlet separated by ca. 500 to greater than 9,000 km, were examined for evidence of clinal variation. Trills are only emitted by males and have a known territorial defence function. Trills from Davis and Mawson, ca. 630 km apart, were distinct from each other and exhibited the greatest number of unique frequency contour patterns.
The acoustic features (duration, waveform, frequency contour) of Trills from Neumayer and Drescher Inlet, ca. 500 km apart, were more distinct from each other than they were from the other four locations. General Discriminant Analysis and Classification Tree Analysis correctly classified 65.8 and 76.9% of the Trills to the correct location. The classification errors assigned more locations to sites greater than 630 km away than to nearest neighbours. Weddell seal Trills exhibit geographic variation but there is no evidence of a clinal pattern. This suggests that males remain close to single breeding areas throughout their lifetime.
This work was completed as part of ASAC project 1132 and 2122 (ASAC_1132, ASAC_2122).

Tags: ACOUSTIC RECEIVERS, AMD, AMD/AU, CEOS, CONTINENT > ANTARCTICA, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/VERTEBRATES > MAMMALS > CARNIVORES > SEALS/SEA L, EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > SPECIES/POPULATION INTERACTIONS > POPULATION DYNAM, EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > COASTAL, EARTH SCIENCE > CRYOSPHERE > SEA ICE, EARTH SCIENCE > OCEANS > SEA ICE, FIELD INVESTIGATION, FIELD SURVEYS, GEOGRAPHIC REGION > POLAR, HYDROPHONES, Leptonychotes weddellii, OCEAN > SOUTHERN OCEAN, Weddell seal, geographic variation, vocalisation
Organization: Australian Ocean Data Network
Ocean Drilling Program Participation

The Ocean Drilling Program (ODP) has been the largest cooperative marine geology program in history.  The Australian Antarctic Division contributed to the Australian ODP budget while ODP was drilling in Antarctic or sub-Antarctic waters.  Although initially related to ODP Leg 120 on Kerguelen Plateau (1988), the spirit of this project can also extend to Leg 188 (2000).  These involvements have been primarily on foraminifera from the Cretaceous and Neogene but have also contributed to understanding of the sediments and changes of environment with time.  A lot has been published and further papers are in press or in preparation.  Leg 183 involvement was invited and turned down but Pat Quilty was then asked to present one paper on Late Cretaceous benthic foraminifera (published) and to act as external editor for the volume.  This work is now almost final and is available on the WWW.
Some sample data are available for download at the url below.  For complete datasets, see the ODP website.
The fields in this dataset are:
Sample
Accessory
Depth (metres below surface)
Species
Planktonic percentage
Barren

Tags: ACCESSORY, AMD, AMD/AU, BARREN, CEOS, DEPTH, EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > AQUATIC ECOSYSTEMS > PLANKTON, EARTH SCIENCE > PALEOCLIMATE > OCEAN/LAKE RECORDS > STRATIGRAPHIC SEQUENCE, GEOGRAPHIC REGION > POLAR, JOIDES RESOLUTION, OCEAN > SOUTHERN OCEAN, OCEAN DRILLING PROGRAM, ODP, ODP > OCEAN DRILLING PROGRAM, PHANEROZOIC > CENOZOIC > NEOGENE, PHANEROZOIC > MESOZOIC > CRETACEOUS, PLANKTON, PLANKTONIC PERCENTAGE, Palaeo Start Date, Palaeo Stop Date, SAMPLE, SHIPS, SOUTHERN OCEAN, SPECIES
Organization: Australian Ocean Data Network
Macquarie Island and adjacent islands 1:50000 Coastline GIS Dataset

This dataset contains the coastline of Macquarie Island and adjacent islands in WGS84 lat/long coordinates.
The coastline was constructed from a variety of sources including SPOT satellite imagery, the Royal Australian Navy's AUS604 hydrographic chart, and photogrammetry using aerial photographs.

Tags: AERIAL PHOTOGRAPHS, AERIAL PHOTOGRAPHY, AMBIS, AMD, AMD/AU, AUSTRALIAN MARITIME BOUNDARIES INFORMATION SYSTEM, BISHOP, CEOS, CLERK, COASTLINE, Cameras, EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY, EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION, EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > CONTOUR MAPS, EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS, EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION, GEOGRAPHIC REGION > POLAR, JUDGE, MACQUARIE, OCEAN > SOUTHERN OCEAN, OCEAN > SOUTHERN OCEAN > MACQUARIE ISLAND, SATELLITES, SPOT
Organization: Australian Ocean Data Network