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Fish and benthic surveys around remote Timor Sea Shoals, using baited remote underwater video stations (BRUVS) (TM)

Created 24/06/2017

Updated 09/10/2017

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BRUVS (TM) were deployed in 3 depth zones, 20-30 m, 40-60 m and 90-110 m at 3 shoals near Evans Shoal, 6 Karmt shoals and 6 Sahul shoals as well as 4 adjacent sites in 96-100 m on the shelf in the Timor Sea. A series of 6 BRUVS (TM) were set in a line at each site and depth.

Sampling positions, depth, time and associated operational data were secured at the time of deployment. The parameters recorded during the tape reading process were: - classification of the habitat (a still image is grabbed for each set) - identification to species level of all vertebrates observed (following the CAABCodes Australian standard naming convention) - the relative abundance of each species (recorded as 'maxN' - the maximum number visible at one time at any point on the tape) - the 'time of arrival' (Tarr) of each fish species - the life stage of each species (adult or juvenile) - the time elapsed before maxN (TmaxN) and feeding (Tf) was observed for each species

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Title Fish and benthic surveys around remote Timor Sea Shoals, using baited remote underwater video stations (BRUVS) (TM)
Language English
Licence Other
Landing Page https://devweb.dga.links.com.au/data/dataset/bc000c6c-d449-4012-90e2-63d2f5a9559e
Contact Point
Australian Institute of Marine Science
adc@aims.gov.au
Geospatial Coverage {"type": "Polygon", "coordinates": [[[124.028449, -13.486666], [129.555067, -13.486666], [129.555067, -9.625897], [124.028449, -9.625897], [124.028449, -13.486666]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Fish and benthic surveys around remote Timor Sea Shoals, using baited remote underwater video stations (BRUVS) (TM)". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/fish-and-benthic-surveys-around-remote-timor-sea-shoals-using-baited-remote-underwater-video-st

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No duplicate datasets found.