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    This is an overall (parent) record for the data collected from surveys of selected marine and terrestrial environmental values at Ashmore Reef Marine Park that were carried out in 2019. In early 2019 Parks Australia commissioned CSIRO to undertake a survey of selected marine and terrestrial environmental values at Ashmore Reef Marine Park. For the terrestrial component, the required elements were to quantify the diversity and abundance of native and non-native plant species, determine the population status and diversity of birds on the islands and to determine the abundance of non-native invasive tropical fire ants. The remit included any evidence of interactions between the fire ants and native fauna, especially birds and turtles. Specific foci for the marine component of the survey were to assess the abundance of key invertebrates which have historically been the subject of illegal fishing and over-exploitation (trochus, beche-de-mer and giant clams), and to assess status (cover and health) of key habitat forming benthic assemblages (corals, macroalgae and seagrass).

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    This dataset contains anonymised, expert elicited data about the management effectiveness of 19 Key Threatening Processes listed under the NSW Biodiversity Conservation Act 2016. Two key pieces of information are generated using the data and the associated R and Matlab code: (1) the expected effectiveness of management under current uncertainty, and (2) the expected value of removing uncertainty about management. Full details of the analysis are contained in the report: Nicol S, Brazill-Boast J, Gorrod E, McSorley A, Peyrard N, Chadès I (2018). Prioritising research and management of key threatening processes and listed species using value of information. CSIRO, Brisbane.

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    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

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    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

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    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

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    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

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    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

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    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

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    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 folders: Backwards, Forwards, New Convert, Videos Done

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    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: 1.01.*.avi to 7.08.*.avi