A project dataset from the Australian Institute of Marine Science (AIMS) quantifying stressors like sedimentation and light quality from dredging activities between 2016 and 2018. It contains matrices of hard data on the response of corals, sponges, seagrass, and algae to realistic environmental conditions. The data was generated to derive water quality thresholds and improve risk assessment processes for regulators.
Use Cases
- Modeling cumulative environmental impact based on pressure field parameters mentioned in the description
- Deriving water quality thresholds for habitat-forming organisms based on experimental response data
- Calibrating risk assessment tools for dredging projects based on quantified proximal stressors
Strengths
- Data collection spans a defined multi-year period from 2016 to 2018
- Experimental design tests multiple key marine organism groups: corals, sponges, seagrass, and algae
- Focuses on quantifying specific, environmentally relevant stressors: sedimentation, light quality, and suspended sediment concentrations
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
- Data may reflect geographic or temporal bias inherent to the specific study location
Provenance
- Source
- Australian Ocean Data Network
- Collection Method
- Project used novel analytical techniques and instrumentation to quantify stressors and test organism responses.
- Time Range
- 2016-2018
- Freshness
- Last updated 2026-07-10 12:25:43.033369; freshness should be verified