RV Investigator Voyage IN2018_V04 SBP120 Sub-bottom Profiler Data

Created 12/10/2024

Updated 12/10/2024

This record describes sub bottom profiler data collected on RV Investigator voyage, IN2018_V04, 'Constraining external iron inputs and cycling in the southern extension of the East Australian Current' which departed Hobart on the 11 September 2018 and returned to Hobart on the 8 October 2018. 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 for the extent of the voyage.

Data are stored in .raw (150 files 6.2 GB) raw and .seg (145 files 6.03 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 IN2018_V04 SBP120 Sub-bottom Profiler Data
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/e52dfbc0-5928-4dca-a50f-607b1eddf609
Contact Point
Atlantic Oceanographic and Meteorological Laboratory (AOML)
data-requests-hf@csiro.au
Reference Period 31/10/2018
Geospatial Coverage {"type": "Polygon", "coordinates": [[[140.0, -50.0], [155.0, -50.0], [155.0, -34.5], [140.0, -34.5], [140.0, -50.0]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "RV Investigator Voyage IN2018_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-in2018_v04-sbp120-sub-bottom-profiler-data

No duplicate datasets found.