The dataset measures the long-term seasonal variations of the sea surface temperature (SST) of ocean surface waters. They are derived from MODIS (aqua) images using NASA's SeaDAS image processing software. The monthly SST images between July 2002 and December 2017 are used to calculate the standard deviations of the four austral seasons: winter (June, July, and August), spring (September, October and November), summer (December, January and February) and autumn (March, April and May). The extent of the dataset covers the entire Australian EEZ and surrounding waters (including the southern ocean). The unit of the dataset is Celsius degree. This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

<p>This dataset contains identifications of polychaetes collected during surveys on the RV Solander in northern Australia: SOL4934 (27 August-24 September, 2009) , SOL5117 (30 July-27 August, 2010), SOL5463 (3-31 May 2012), and SOL5650 (12 September-6 October 2012). Sediment was collected with a Smith McIntyre grab or boxcore and elutriated over a 500um sieve. Elutriated material was then sorted back at Geoscience Australia, and all polychaetes were removed and sent to the Museum and Art Gallery of the Northern Territory (MAGNT). Chris Glasby and Charlotte Watson taxonomically identified each animal to the lowest possible level, differentiating species using established names and operational taxonomic units (OTUs). Specimens are lodged at the MAGNT. See relevant post-survey reports (GA Records 2010/09, 2011/08, 2012/66 and 2013/38) for further details on survey methods and specimen acquisition. This dataset is published with the permission of the CEO, Geoscience Australia. <p>This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

<p>Flythrough movie of Bremer Commonwealth Marine Reserve, southwest Western Australia showing bathymetry of Bremer Canyon, Hood Canyon, Henry Canyon and Knob canyon. <p>This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

The dataset measures the long-term seasonal means of the sea surface temperature (SST) of ocean surface waters. They are derived from MODIS (aqua) images using NASA's SeaDAS image processing software. The monthly SST images between July 2002 and December 2017 are used to calculate the means of the four austral seasons: winter (June, July, and August), spring (September, October and November), summer (December, January and February) and autumn (March, April and May). The extent of the dataset covers the entire Australian EEZ and surrounding waters (including the southern ocean). The unit of the dataset is Celsius degree. This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

The dataset measures the long-term seasonal variations of the chlorophyll a concentrations of ocean surface waters. They are derived from MODIS (aqua) images using NASA's SeaDAS image processing software. The monthly chlorophyll a images between July 2002 and December 2017 are used to calculate the standard deviations of the four austral seasons: winter (June, July, and August), spring (September, October and November), summer (December, January and February) and autumn (March, April and May). The extent of the dataset covers the entire Australian EEZ and surrounding waters (including the southern ocean). The unit of the dataset is mg/m3. This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

Bathymetry flythrough of Perth Canyon using data acquired by Schmidt Ocean Institute in 2015 on RV Falkor (University of Western Australia et al.). The flythrough highlights geomorphic features mapped by Geoscience Australia, including landslides, escarpments and bedform fields and biodiversity associated with the canyon (benthic and pelagic). Produced as a science communication product for the Marine Biodiversity Hub (National Environmental Science Program). This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

The dataset indicates the seasonal primary productivity hotspots of ocean surface waters. They are derived from MODIS (aqua) images using NASA's SeaDAS image processing software. The monthly chlorophyll a images between July 2002 and August 2014 are used to identify the primary productivity hotspots of the four austral seasons: winter (June, July, and August), spring (September, October and November), summer (December, January and February) and autumn (March, April and May). The extent of the dataset covers the entire Australian EEZ and surrounding waters (including the southern ocean). The value (between 0 and 1.0) of the dataset represents the likelihood of the location being a primary productivity hotspot. This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

The dataset indicates the long-term overall primary productivity hotspots of ocean surface waters. They are derived from MODIS (aqua) images using NASA's SeaDAS image processing software. The monthly chlorophyll a images between July 2002 and August 2014 are used to identify the overall primary productivity hotspots. The extent of the dataset covers the entire Australian EEZ and surrounding waters (including the southern ocean). The value (between 0 and 1.0) of the dataset represents the likelihood of the location being a primary productivity hotspot. This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

Flythrough movie of Gifford Marine Park, which is located 700 km east of Brisbane, Australia. The park is situated about halfway along the Lord Howe Rise seamount chain on the western flank of the Lord Howe Rise. Seamounts along this chain formed from Miocene volcanism via a migrating magma source (“hotspot”) after the opening of the Tasman Sea. Two large, flat-topped volcanic seamounts dominate the park. Their gently sloping summits have accumulated veneers of sediment, which in places have formed fields of bedforms. Steep cliffs, debris and large mass movement scars encircle each seamount, and contrast with the lower gradient abyssal plains from which they rise. Spanning over 3 km of ocean depths, the seamounts are likely to serve multiple and important roles as breeding locations, resting areas, navigational landmarks or supplementary feeding grounds for some cetaceans (e.g. humpback whales, sperm whales). They may also act as important aggregation points for other highly migratory pelagic species. The bathymetry shown here was collected on two surveys - the first in 2007 by Geoscience Australia and the second in 2017 by Geoscience Australia in collaboration with the Japan Agency for Marine-Earth Science and Technology. The Gifford Marine Park has also been the focus of a study undertaken by the Marine Biodiversity Hub as part of the National Environmental Science Program. This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

This dataset provides the spatially continuous data of seabed gravel (sediment fraction >2000 µm), mud (sediment fraction < 63 µm) and sand content (sediment fraction 63-2000 µm) expressed as a weight percentage ranging from 0 to 100%, presented in 10 m resolution raster grids format and ascii text file.</p> The dataset covers the eight areas in the Timor Sea region in the Australian continental EEZ.</p> This dataset supersedes previous predictions of sediment gravel, mud and sand content for the basin with demonstrated improvements in accuracy. Accuracy of predictions varies with sediment types, with a VEcv = 71% for mud, VEcv = 72% sand and VEcv = 42% for gravel. Artefacts occur in this dataset as a result of noises associated predictive variables (e.g., horizontal and vertical lines resulted from predictive variables derived from backscatter data are the most apparent ones). To obtain the most accurate interpretation of sediment distribution in these areas, it is recommended that noises with backscatter data should be reduced and predictions updated.</p> This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.