120-day trial data from a study on artificial symbiotic granules for ecological engineering. The dataset, authored by Hongwei Yu and last updated in April 2026, contains results on water purification efficiency and methane emission reduction from a synthetic consortium of microorganisms and aquatic plants.
Use Cases
- Modeling nutrient removal efficiency based on reported chemical oxygen demand, ammonia, and phosphate reduction rates.
- Analyzing microbial gene expression changes related to methane oxidation based on metagenomic data mentioned in the description.
- Evaluating plant germination and growth enhancement based on reported increases in germination rate and vegetation coverage.
- Studying biofilm structure and nutrient diffusion at sediment-water interfaces based on described hyphal networks and metabolite exchange.
Strengths
- Includes specific performance metrics: 55.00% COD removal, 96.63% NH₃-N removal, and 90.30% PO₄-P removal.
- Reports quantified biological outcomes: 23.07% increase in seed germination rate and 57.73% reduction in methane emissions.
- Data is openly licensed under CC-BY-4.0.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- The dataset is very small at 7.7 KB, indicating limited scope.
Provenance
- Source
- figshare
- Collection Method
- Experimental data from a study developing a bioencapsulation strategy with domesticated microorganisms and aquatic plant propagules.
- Time Range
- Covers a 120-day trial period.
- Freshness
- Last updated 2026-04-20 02:18:16; freshness should be verified.
- Geography
- null