JSON RDF ISO19115-3 XML

BRUVS (TM) - Fish and Benthic survey of Southern Melville Bay 2007-10-29 to 2007-11-10

Created 24/06/2017

Updated 09/10/2017

JSON RDF ISO19115-3 XML

The dataset comprises 275 individuals from 39 species of fishes, sharks, rays and sea snakes observed at 13 sites (Southern Melville Bay) using 57 baited remote underwater video stations (BRUVS(TM)). 50 images were captured from these cameras.

Approximately 3500 of the best images from all BRUVS (TM) projects are stored in a reference library.

Data recorded concern: - classification of the habitat in the field of view (topography, sediments, benthos) - the identity of fish and CAABCODES - their time of arrival - their behaviour (8 categories, including feeding on the bait) - their maturity (adult or juvenile) - their relative abundance (as MaxN = the maximum number visible at one time, or distinguishable at different times as separate individuals e.g. much larger/smaller, male/female) - the time elapsed before MaxN and feeding occurs.

A custom interface has been developed by AIMS staff, using Microsoft Access, for reading and analysis of BRUVS(TM) tapes.

Files and APIs

Tags

Additional Info

Field Value
Title BRUVS (TM) - Fish and Benthic survey of Southern Melville Bay 2007-10-29 to 2007-11-10
Language English
Licence Other
Landing Page https://devweb.dga.links.com.au/data/dataset/e52557f1-cadc-4e2f-ad20-66d44e64cf9b
Contact Point
Australian Institute of Marine Science
adc@aims.gov.au
Geospatial Coverage {"type": "Polygon", "coordinates": [[[136.682082, -12.198784], [136.690661, -12.198784], [136.690661, -12.198032], [136.682082, -12.198032], [136.682082, -12.198784]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "BRUVS (TM) - Fish and Benthic survey of Southern Melville Bay 2007-10-29 to 2007-11-10". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/bruvs-tm-fish-and-benthic-survey-of-southern-melville-bay-2007-10-29-to-2007-11-10

Original dataset
Dataset copies

No duplicate datasets found.