RV Investigator IN2023_V05: Marine Species Catch Data from Southeast Australia
Updated 24d ago
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Description
Catch data for marine specimens collected by Museums Victoria during the RV Investigator voyage IN2023_V05. The voyage, titled 'Untangling the causes of change over 25 years in the southeast marine ecosystem (SEA-MES Voyage 1)', took place between 27 June 2023 and 29 July 2023, departing from and returning to Hobart. Records include species identification, counts and/or weights, and are linked to sampling metadata such as station, location, depth, time, and gear type.
Use Cases
Assess species composition and abundance based on catch counts and weights.
Model species distribution patterns based on linked latitude, longitude, and depth metadata.
Analyze long-term ecosystem changes based on data intended as a baseline for a 25-year study.
Study sampling efficiency and gear type effectiveness based on linked gear metadata.
Strengths
Data is linked to detailed sampling metadata including station number, location, depth, time, and gear type.
Provides a baseline for a long-term (25-year) monitoring program of the southeast Australian marine ecosystem.
Voyage dates (27 June 2023 to 29 July 2023) and ports (Hobart) are explicitly stated.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count and file size are unknown, which may limit suitability assessment.
Data may reflect geographic and temporal bias inherent to a single voyage in southeast Australia.
Provenance
Source
Marine National Facility (MNF) RV Investigator voyage IN2023_V05, specimens collected by Museums Victoria.
Collection Method
Collected during a dedicated oceanographic research voyage.
Time Range
27 June 2023 to 29 July 2023 (AEST).
Freshness
Last updated 2026-06-27 18:38:03.685166; freshness should be verified.
Geography
Southeast Australian marine ecosystem, voyage departed from and returned to Hobart.
File formats listed are PNG and HTML, which may indicate the primary data is presented in reports or images rather than a raw structured table.