A Jaeel's dataset on figshare contains experimental data from a microbial fuel cell (MFC) using livestock wastewater. The data likely includes measurements of current density production across four manure-to-liquid ratios (20, 40, 60, and 80 g/l). The dataset was last updated on 2026-05-05.
Use Cases
- Modeling current density production based on manure-to-liquid ratios.
- Analyzing microbial fuel cell performance across different solid loading rates.
- Training artificial neural networks (ANN) to predict MFC output from operational parameters.
- Evaluating the effectiveness of anaerobic sludge from septic tanks for bioenergy generation.
- Comparing power generation from livestock wastewater under varying hydraulic retention times.
Strengths
- The dataset specifies four distinct manure-to-liquid ratios (20, 40, 60, and 80 g/l) as experimental conditions.
- The description mentions the application of an artificial neural network (ANN) for performance prediction, suggesting a structured modeling approach.
- The file is provided in XLSX format, which is widely accessible for analysis.
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 small (435.7 KB), indicating a limited scope of experimental data.
Provenance
- Source
- figshare, author A Jaeel.
- Collection Method
- Experimental data from a persistent horizontal flow microbial fuel cell with carbon electrodes.
- Freshness
- Last updated 2026-05-05 20:21:33; freshness should be verified.