<p>This dataset measures the overall warming rates of the sea surface temperature (SST) in 58 Australian Marine Parks (except the Heard Island and McDonald Islands Marine Park) over the past 15 years (2003 to 2017). They are derived from the monthly MODIS (aqua) SST images. The fields of "slope_y" and "slope_m" represent the annual and monthly SST warming rates, respectively. The units of the warming rates are Celsius degree/per annual and Celsius degree/per month. <p>This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

<p>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. <p>This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

Australia has one of the world’s largest marine estates, but without some common and agreed standards, information collected may not be comparable with other areas or sectors. Due to the large geographic area, diverse flora and fauna, and range of environmental conditions represented by the Australian Marine estate, a single method of sampling is neither practical nor desirable (Bouchet et al. 2018, Przeslawski et al. 2018). For this reason, we present a standard approach for each of seven key marine benthic sampling platforms that were identified based on frequency of use in previous open water sampling and monitoring programs: Multibeam sonar (MBES), Autonomous Underwater Vehicles (AUVs), benthic Baited Remote Underwater Video (BRUVs), towed video, grabs and box cores, sleds and trawls, and remotely operated vehicles (ROVs). n addition, we provide a field manual for pelagic BRUVs as a concept sampling method in pelagic ecosystems due to its similarity to benthic BRUVs. This field manual package aims to provide a standardised national methodology for the acquisition of marine data from a prioritised set of frequently-used sampling platforms (below diver depths) so that data are directly comparable in time and through space. This will then facilitate national monitoring programs in Australian open waters and contribute to the design of an ongoing monitoring program for AMPs. The long-term goal is to produce a set of manuals that is applicable to a broad range of users and to be prescriptive enough that all data are collected without unnecessary technical variation. Using an inclusive and collaborative approach, over 115 individuals from 50 organisations contributed to versions 1 and 2 of the field manual package, Version 1 of the field manual package was released in February 2018, and Version 2 was released two years later in June 2020. All original chapters were updated in Version 2 with stakeholder feedback, corrections, and updates where applicable. The chapter ‘Seafloor Mapping Field Manual for Multibeam Sonar’ was substantially changed in Version 2 to amalgamate it with the Australian Multibeam Guidelines which were released in June 2018 by AusSeabed, a nationally seabed mapping coordination program. The unified multibeam manual in Version 2 addresses stakeholder concerns about maintaining two separate SOPs for multibeam sonar. In addition, a new manual on ROVs was developed for the Version 2 package. The ROV was chosen based on findings from a report titled Scoping of new field manuals for marine sampling in Australian waters. One of the most notable changes for Version 2 was the development of an online portal for the field manuals (https://marine-sampling-field-manual.github.io). While Version 1 was released as static pdfs through the NESP Marine Hub website, Version 2 was released through GitHub. <b>Citation:</b> Przeslawski R, Foster S [Eds.]. (2020). Field Manuals for Marine Sampling to Monitor Australian Waters, Version 2. Report to the National Environmental Science Program, Marine Biodiversity Hub. Geoscience Australia and CSIRO. http:dx.doi.org/10.11636/9781925848755

<p>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. <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.

A scientific workshop for NESP Project D1 ¿Developing a toolbox of predictive models for the monitoring and management of KEFs and CMRs in the North and North-west regions¿ was held at Geoscience Australia 9-10 September 2015. The objectives of the workshop were to discuss future research priorities for the North and North-West regions and to define current knowledge gaps by consolidating existing datasets from AIMS, GA and UWA. Several robust datasets for the North and North-West region were identified which may be used to validate, refine, or extend existing models, particularly in the Oceanic Shoals CMR and along the North-west coastline, including the Kimberley CMR. There are still large regions for which very little scientific information exists, notably the Argo Rowley Terrace CMR and other deep-sea areas. However, when balanced against stakeholder interests and marine management priorities, data-poor CMRs closer to the coast such as the Kimberley and 80 Mile Beach CMRs are the most likely candidates for future research. <b>Citation:</b> Przeslawski, R, Miller, KJ, Nichol, SL, Bouchet, PJ, Huang, Z, Kool, JT, Radford, B, Thums, M., 2015, <i>Developing a toolbox of predictive models for the monitoring and management of KEFs and CMRs in the North and North-west regions - Scientific Workshop Report</i>, Report in Marine Biodiversity Hub, National Environmental Science Programme (NESP)

<p>This dataset measures the mean decadal warming rates of the sea surface temperature (SST) in 58 Australian Marine Parks (with the exception of the Heard Island and McDonald Islands Marine Park) over the past 25 years (1992 to 2016). They are derived from the Sea Surface Temperature Atlas of the Australian Regional Seas (SSTAARS). The field of “trend_d” represents the linear SST trend for March 1992 to December 2016. The unit of the warming rates is Celsius degree/per decade. <p>This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

<p>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). <p>This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

<p>The dataset measures the long-term seasonal means 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 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 mg/m3. <p>This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

<p>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> <p>The dataset covers the eight areas in the Timor Sea region in the Australian continental EEZ.</p> <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> <p>This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.