Marine Seismic Survey Impacts on Fish and Invertebrates in the Gippsland Basin
Updated 1mo ago
2filesMP4
Available on 1 platform
Sign in to view source links and access this dataset
Description
A project developed in response to stakeholder concerns about an April seismic survey in the Gippsland Basin. The study involves six components: sound modelling, sound monitoring, benthic community assessment, bivalve assessment, fish avoidance behaviour tracking, and fisheries catch data analysis. The dataset, presented by the Australian Ocean Data Network, includes MP4 and HTML files last updated on 2026-04 28.
Use Cases
Modeling underwater sound propagation based on described sound modelling and monitoring components.
Assessing fish avoidance behavior based on the acoustic tagging methodology mentioned.
Analyzing changes in benthic communities using the AUV survey data described.
Correlating fisheries catch data with seismic survey events as outlined in the project.
Evaluating laboratory-to-field translation challenges for underwater sound impact studies as discussed.
Strengths
The project is structured around six distinct methodological components, providing a multi-faceted approach.
Data was collected in response to a specific, real-world seismic survey event in the Gippsland Basin.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
The primary files are presentation formats (MP4, HTML), which may require extraction of underlying data.
Provenance
Source
Australian Ocean Data Network
Collection Method
Combined methods including sound modelling, moored hydrophones, AUV surveys, dredging, acoustic tagging, and fisheries catch analysis.
Time Range
Includes data related to an April seismic survey; specific temporal coverage is not detailed.
Freshness
Last updated 2026-04-28 15:28:47.678869; freshness should be verified.
Geography
Gippsland Basin, Australia.
Data is presented in MP4 and HTML formats, which may not be directly machine-readable as tabular data.