IN2024_V03: CTD Oceanographic Data from Southeast Marine Ecosystem Voyage
Updated 1mo ago
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Description
CSIRO National Collections and Marine Infrastructure processed CTD data from 83 deployments during the RV Investigator voyage IN2024_V03 in May 2024. The data, collected between Hobart and Sydney, includes measurements from primary sensors for conductivity, temperature, depth, dissolved oxygen, and auxiliary sensors for chlorophyll-a and other parameters. Automated quality control was applied, and final calibrations met specified precision targets.
Use Cases
Modeling water column structure based on conductivity, temperature, and depth (CTD) profiles.
Analyzing dissolved oxygen dynamics for biogeochemical studies.
Studying phytoplankton biomass distribution using chlorophyll-a and PAR sensor data.
Investigating optical water properties based on CDOM and scattering measurements.
Strengths
Data from 83 CTD deployments provides spatial and temporal coverage for the voyage.
Final conductivity calibration had a standard deviation of 0.0018351 PSU, meeting a target of better than 0.002 PSU.
Dissolved oxygen calibration fit had a standard deviation of 0.83297 μM, with good agreement reported between CTD and bottle data.
Includes auxiliary sensor data for altimeter, PAR, CDOM, chlorophyll-a, and scattering.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
CTD had minor issues at the beginning of the voyage, and an LADCP battery failure occurred for the first three casts.
Provenance
Source
CSIRO National Collections and Marine Infrastructure (NCMI) Information and Data Centre (IDC)
Collection Method
Data acquired using a Sea-Bird SBE911 CTD unit with a rosette sampler during a research voyage.
Time Range
May 01, 2024 to May 31, 2024
Freshness
Last updated 2026-05-02 10:10:59.745799; freshness should be verified.
Geography
Marine region between Hobart and Sydney, southeast Australia
File formats are listed as PNG and HTML, which suggests the primary data may be packaged with visualizations or reports rather than raw tabular files.