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    Annotations of Centrostephanus rogersii sea urchin barrens derived from towed video at selected key abalone blocks along the east coast of Tasmania. The purpose of the study was to examine the patch dynamics of urchin barrens and to provide validation for the identification of urchin barrens from multibeam surveys.

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    Annotations of canopy forming seaweed derived from towed video at selected key abalone blocks along the east coast of Tasmania. The purpose of the study was to examine the patch dynamics of seaweeds and urchin barrens and to provide validation for the identification of urchin barrens from multibeam surveys.

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    The Tasman Fracture CMR AUV survey was a pilot study undertaken in 2014/15 as part of the National Marine Biodiversity Hub's National monitoring, evaluation and reporting theme. The aim of this theme is to develop a bluepint for the sustained monitoring of the South-east Commonwealth Marine Reserve Network. The particular aim of the survey was to contribute to an inventory of the distribution and cover of epibenthic biota in the reserve using IMOS AUV 'Sirius'. Data contained here represents a scored subset of the ~ 18,400 images collected at the Tasman Fracture CMR. Images were scored for proportion cover of visible macrobiota using 25 random points superimposed on each image. Taxon were biologically classified using UTAS morphospecies classification scheme, which can be mapped back to CATAMI (http://catami.org/).

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    The Flinders CMR AUV survey was a pilot study undertaken in June 2013 as part of the National Marine Biodiversity Hub's National monitoring, evaluation and reporting theme. The aim of this theme is to develop a blueprint for the sustained monitoring of the South-east Commonwealth Marine Reserve Network. The particular aim of the survey was to contribute to an inventory of the distribution and cover of epibenthic biota in the reserve using IMOS AUV 'Sirius'. Data contained here represents a scored subset of the ~ 36,700 images collected at the Flinders CMR. Images were scored for proportion cover of visible macrobiota using 25 random points superimposed on each image. Taxon were biologically classified using CATAMI (http://catami.org/).