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RV Investigator Voyage IN2017_V04 SBP120 Sub-bottom Profiler Data

Created 12/10/2024

Updated 12/10/2024

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This record describes sub bottom profiler data collected on RV Investigator voyage IN2017_V04, 'The whole enchilada: from production to predation in Tasman Sea ecosystems' which departed Brisbane on the 31-Aug-2017 and returned to Sydney on the 18 September 2017.

The Kongsberg SBP120 (sub bottom profiler) was used to acquire data containing the specular reflections at different sediment interfaces below the seafloor. The SBP120 provides a 3° by 3° angular resolution.

The echosounder's frequency sweep range is from 2.5 to 7 kHz. The SBP120 was logged [continuously/sporadically] for the extent of the voyage.

Data are stored in .raw (59 files 5.36 GB) raw and .seg (58 files 5.48 GB) segy formats at CSIRO.

The segy format data had a real time processing stream applied, which applies gain, a gain correction, matched filter with replica shaping, an attribute calculation for instantaneous amplitude and time variable gain.

Additional information regarding this dataset is contained in the GSM data acquisition and processing report. Additional data products may be available on request

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Additional Info

Field Value
Title RV Investigator Voyage IN2017_V04 SBP120 Sub-bottom Profiler Data
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/63587113-26d5-4e76-98a2-3b617760997b
Contact Point
Atlantic Oceanographic and Meteorological Laboratory (AOML)
data-requests-hf@csiro.au
Reference Period 02/10/2017
Geospatial Coverage {"type": "Polygon", "coordinates": [[[150.0, -37.0], [157.0, -37.0], [157.0, -26.0], [150.0, -26.0], [150.0, -37.0]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "RV Investigator Voyage IN2017_V04 SBP120 Sub-bottom Profiler Data". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/rv-investigator-voyage-in2017_v04-sbp120-sub-bottom-profiler-data

Original dataset
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No duplicate datasets found.