Microbial fuel cells with highly active aerobic biocathodes
datasetposted on 01.01.2016, 00:00 by EM Milner, D Popescu, T Curtis, IM Head, K Scott, E Yu
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Various sets of data were collected for this work, falling into three major categories; 1.Electrochemical half-cell data obtained using potentiostats a.Chronoamperometry (CA) data recorded over time to give a measure of aerobic biocathodes performance (raw CA data processed using Excel) b.Cyclic voltammetry (CV) data recorded for the biocathode half-cells to give aerobic biocathode mechanistic information (raw CV data processed using Nova/Excel) 2.Community analysis sequence data for the aerobic biocathode biofilms recovered from the half-cells, allowing determination of bacterial community composition (raw ion torrent data was processed using QIIME. Fast Tree was used to process some of the sequence data from QIIME to produce a phylogenetic tree) 3.MFC polarisation curve data, recorded to assess MFC performance using different cathode types (raw voltage data processed using Excel)