In 2022, researchers reared Acropora coral larvae for seven days under varied stocking densities, water turnover rates, and sterilization conditions to evaluate survival. The dataset includes larval density counts, microphotography of appearance and size, water samples for nutrient analysis, and filtered samples for bacterial and viral abundance measured via droplet digital PCR. Microbial community characterization was performed via 16S rDNA sequencing.
Use Cases
- Model larval survival rates based on stocking density and water turnover rates.
- Analyze microbial community composition in larval cultures based on 16S sequencing data.
- Correlate larval appearance and size from microphotography with environmental conditions.
- Assess the impact of UV sterilization and surface agitation on bacterial and viral abundance.
Strengths
- Experimental design includes multiple controlled variables: three stocking densities and two water turnover rates.
- Data collection combines biological counts, photographic analysis, nutrient measurements, and microbial sequencing.
- Microbial analysis uses specific techniques: droplet digital PCR for abundance and 16S sequencing for community characterization.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment for large-scale modeling.
Provenance
- Source
- Australian Ocean Data Network
- Collection Method
- Laboratory experiment rearing coral larvae in controlled flow-through systems.
- Time Range
- 2022
- Freshness
- Last updated 2026-06-04 19:19:04.307463; freshness should be verified.