Name, Brief Description and owner: Baited Remote Underwater stereo-Video (BRUV) systems (6 in total) were used. All equipment (BRUVs, weights, cameras, lights, ropes, etc.) belonged to UWA Relevant component details: make, model, serial number, firmware version, settings: Stereo‐BRUV systems consisted of a frame, protecting 2 convergent video cameras inside waterproof housings (plus one rear-facing video camera) and 2 lights (one forward-facing and one rear-facing), attached to a base bar, with a baited container fixed in front of the cameras. Systems were tethered by rope to surface buoys to facilitate relocation and retrieval. Weights were added to frames due to the current and depth in the area. Cameras used: 2 x Canon HG 25 (forward facing) with the follow settings: • Focus: Manual (3.0m) • Rec Program: P) • Image stabilizer: OFF • Facial recognition: OFF • Recording mode: MXP • Frame rate: PF25 1 x GoPro Hero 3+ (backwards facing), taking photos every 60 seconds. Cameras were calibrated at UWA prior to and at the conclusion of the field trip, using SeaGIS software Cal. Contains files: 8.01.*.avi to 12.11.*.avi

Name, Brief Description and owner: Baited Remote Underwater stereo-Video (BRUV) systems (6 in total) were used. All equipment (BRUVs, weights, cameras, lights, ropes, etc.) belonged to UWA Relevant component details: make, model, serial number, firmware version, settings: Stereo‐BRUV systems consisted of a frame, protecting 2 convergent video cameras inside waterproof housings (plus one rear-facing video camera) and 2 lights (one forward-facing and one rear-facing), attached to a base bar, with a baited container fixed in front of the cameras. Systems were tethered by rope to surface buoys to facilitate relocation and retrieval. Weights were added to frames due to the current and depth in the area. Cameras used: 2 x Canon HG 25 (forward facing) with the follow settings: • Focus: Manual (3.0m) • Rec Program: P) • Image stabilizer: OFF • Facial recognition: OFF • Recording mode: MXP • Frame rate: PF25 1 x GoPro Hero 3+ (backwards facing), taking photos every 60 seconds. Cameras were calibrated at UWA prior to and at the conclusion of the field trip, using SeaGIS software Cal. Contains files: 30.01.*.avi to 31.06.*.avi

This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator research voyage IN2019_V03, titled "A coupled bio-physical, ecosystem-scale, examination of Australia’s International Indian Ocean Expedition line." The voyage took place between May 14 and June 14, 2019 departing from Fremantle (WA) and arriving in Fremantle. For further information please refer to the voyage documentation links below. Instruments used and data collected include: Regular measurements: Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz ), Lowered ADCP (LADCP), Cloud Condensation Nuclei counter (CCN), Condensation Particle Counters (CPC), Greenhouse Gas Analysers (Picarro), Radon and Ozone and sensors, Scanning Mobility Particle Sizers (SMPS), CTD, Hydrochemistry, Gravimeter, pCO2, Fisheries echosounder (EK60), Multibeam Echosounder (EM710, EM122), Sub-bottom Profiler (SBP120), GPS Positioning System, Doppler Velocity Log, Fluorometer, Oxygen optode, Thermosalinographs (TSG), Infrared Sea Surface Temperature Autonomous Radiometer (ISAR), Multiangle Absorption Photometer (MAAP), Nephelometer, Temperature, Humidity, Pressure, Wind and Rain sensors, Photosynthetically Active Radiation (PAR) sensor, Precision Infrared Radiometer (PIR), Precision Spectral Pyranometer (PSP), Weather Radar, Expendable Bathythermographs (XBTs). Voyage-specific measurements: DALEC radiometer, CE600 Underwater radiance camera, HyperPRO in-water profiling radiometer, Free-fall radiometer (C-OPS), Cytometry, Equilibrator Inlet Mass Spectrometry (EIMS), Vertical Microstructure Profiler (VMP), Triaxus, Submersible Ultraviolet Nitrate Analyser (SUNA), EZnet with video, Heron net, Indian Ocean Standard Net, Microzooplankton net, Neuston net, Continuous Plankton Recorder (CPR), Microbes, Wildlife observations (seabirds, cetaceans and seals). The archive for the IN2019_V03 EOV raw data is curated by the CSIRO Oceans and Atmosphere (O&A) Information and Data Centre (IDC) in Hobart, with a permanent archive at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to participants and processors of the data collected in the voyage. All voyage documentation is available electronically to MNF support via the local network. Access to voyage documentation for non-CSIRO participants can be made via DataLibrariansOAMNF@csiro.au.

Name, Brief Description and owner: Baited Remote Underwater stereo-Video (BRUV) systems (6 in total) were used. All equipment (BRUVs, weights, cameras, lights, ropes, etc.) belonged to UWA Relevant component details: make, model, serial number, firmware version, settings: Stereo‐BRUV systems consisted of a frame, protecting 2 convergent video cameras inside waterproof housings (plus one rear-facing video camera) and 2 lights (one forward-facing and one rear-facing), attached to a base bar, with a baited container fixed in front of the cameras. Systems were tethered by rope to surface buoys to facilitate relocation and retrieval. Weights were added to frames due to the current and depth in the area. Cameras used: 2 x Canon HG 25 (forward facing) with the follow settings: • Focus: Manual (3.0m) • Rec Program: P) • Image stabilizer: OFF • Facial recognition: OFF • Recording mode: MXP • Frame rate: PF25 1 x GoPro Hero 3+ (backwards facing), taking photos every 60 seconds. Cameras were calibrated at UWA prior to and at the conclusion of the field trip, using SeaGIS software Cal. Contains files: 13.02.*.avi to 23.09.*.avi

Data from multibeam echosounder surveys taken as part of the Ningaloo Outlook project are classified into various seafloor cover types according to their hardness, rugosity and depth. The classifications are validated with towed video ground truth where it is available. Three AOIs are classified, two that were explicitly part of the Ningaloo Outlook Deep Reefs project and a third transect that was acquired incidentally while RV Investigator was transiting between locations. Due to the nature of the acquired data, two different approaches were taken for the classification, the first approach used multibeam backscatter angular response curves along with rugosity as input to a maximum likelihood classifier. The second approach used flattened multibeam backscatter (i.e. with the angular effects removed), along with rugosity as inputs to a Random Forest Classifier. Estimates of the accuracy of the classifiers are produced, where possible, along with area statistics for the different substratum observed in the classified maps. The maps are GeoTIFFs with text based classification keys. [Note:] Area 3a only

Data from multibeam echosounder surveys taken as part of the Ningaloo Outlook project are classified into various seafloor cover types according to their hardness, rugosity and depth. The classifications are validated with towed video ground truth where it is available. Three AOIs are classified, two that were explicitly part of the Ningaloo Outlook Deep Reefs project and a third transect that was acquired incidentally while RV Investigator was transiting between locations. Due to the nature of the acquired data, two different approaches were taken for the classification, the first approach used multibeam backscatter angular response curves along with rugosity as input to a maximum likelihood classifier. The second approach used flattened multibeam backscatter (i.e. with the angular effects removed), along with rugosity as inputs to a Random Forest Classifier. Estimates of the accuracy of the classifiers are produced, where possible, along with area statistics for the different substratum observed in the classified maps. The maps are GeoTIFFs with text based classification keys. [Note:] 120m Transect only

Data from multibeam echosounder surveys taken as part of the Ningaloo Outlook project are classified into various seafloor cover types according to their hardness, rugosity and depth. The classifications are validated with towed video ground truth where it is available. Three AOIs are classified, two that were explicitly part of the Ningaloo Outlook Deep Reefs project and a third transect that was acquired incidentally while RV Investigator was transiting between locations. Due to the nature of the acquired data, two different approaches were taken for the classification, the first approach used multibeam backscatter angular response curves along with rugosity as input to a maximum likelihood classifier. The second approach used flattened multibeam backscatter (i.e. with the angular effects removed), along with rugosity as inputs to a Random Forest Classifier. Estimates of the accuracy of the classifiers are produced, where possible, along with area statistics for the different substratum observed in the classified maps. The maps are GeoTIFFs with text based classification keys. [Note:] Area 5 only

Dugongs (Dugong dugon) are listed as vulnerable on the IUCN Red List of Threatened species and as other specially protected fauna in WA under Schedule 7 of the Wildlife Conservation (Specially Protected Fauna) Notice 2015). Gaps in our knowledge in Western Australia include having a good understanding of the species’ distribution, abundance and high use areas across the northwest. This 3-year project (2014-2017) integrated Indigenous knowledge and scientific observations from field surveys to better understand the distribution, abundance and movements of dugong in the Kimberley region. The data collected also provides a baseline for future monitoring and management. This medata record relates to raw and processed aerial survey data of marine fauna collected between 21st September 2015 and 8th October 2015 in Kimberley coastal waters to the 20m bathymetry line, comprising dugongs (Dugong dugon), Australian snubfin dolphins (Orcaella heinsohni), other dolphins (bottlenose, spinners, false killer whales), humpback whales (Megaptera novaeangliae) and large, mostly green turtles (Chelonia mydas). The WA Department of Biodiversity Conservation and Attractions (DBCA, ex-DPaW) and CSIRO provided additional resources to extend the North Kimberley dugong aerial survey boundary westwards (Broome to just past Port Hedland) to cover the South Kimberley-Pilbara coastal regions, to close the last remaining knowledge gap of the dugong distribution and abundance in Australia. This additional survey was completed in May 2017. Data from a trial movement study undertaken between 1-18th August 2016 also forms part of this metadata record. Five dugongs were tagged with Telonics manatee/dugong tags. GPS and ARGOS satellite detection locations and dive data were downloaded weekly from the ARGOS web site.

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This dataset is the current total holdings of all pinned Hymenoptera - Pompilidae primary type specimens held at the Australian National Insect Collection. ANIC is the World’s largest repository of Australian type specimens, currently holding about 22,000 primary types, which are the basis of every species description and the ultimate reference for species identification. Primary types are globally recognised as being the most valuable specimens of any collection, because they form the scientific basis of taxonomy, ensure stability of species names and are irreplaceable. Digitising the irreplaceable primary type specimens will not only greatly benefit their curation and long-term safety but will also leverage biodiversity research outcomes of in-house and overseas researchers and facilitate reliable identification of native species and biosecurity threats.