JSON RDF ISO19115-3 XML

RV Investigator Voyage IN2023_V05 EK60/EK80 Echosounder

Created 12/10/2024

Updated 12/10/2024

JSON RDF ISO19115-3 XML

This record describes scientific split-beam echosounder data collected on the RV Investigator voyage IN2023_V05, titled "Untangling the causes of change over 25 years in the southeast marine ecosystem (Voyage 1). The voyage took place between June 28, 2023 and July 30, 2023 (AEST), departing from Hobart and returning to Hobart.

The Simrad EK60 split beam echosounders for 18kHz and Simrad EK80 split beam echosounders for 38, 70 120, 200 and 333 kHz were used to acquire acoustic backscatter data to a range of 1500m, between Hobart and Sydney. All frequencies were logged continuously for the extent of the voyage. The 70 & 120 kHz frequencies were set to passive for periods of the voyage.

Data are stored in .raw, .bot and *.idx format at CSIRO. There are 809 files totalling 68.4 GB of raw data in this dataset.

No Processing has been conducted on this data.

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

Files and APIs

Tags

Additional Info

Field Value
Title RV Investigator Voyage IN2023_V05 EK60/EK80 Echosounder
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/d9610235-03c1-429b-88dc-ff073b8326ec
Contact Point
Atlantic Oceanographic and Meteorological Laboratory (AOML)
NCMIGeophysicalSurveyMapping@csiro.au
Reference Period 16/01/2024
Geospatial Coverage {"type": "Polygon", "coordinates": [[[147.33, -43.45], [150.38, -43.45], [150.38, -36.3], [147.33, -36.3], [147.33, -43.45]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "RV Investigator Voyage IN2023_V05 EK60/EK80 Echosounder". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/rv-investigator-voyage-in2023_v05-ek60-ek80-echosounder

Original dataset
Dataset copies

No duplicate datasets found.