This study systematically assessed intracellular electron transfer (IET) and extracellular electron transfer (EET) kinetics with respect to anode potential (Eanode) in a mixed-culture biofilm anode enriched with Geobacter spp. High biofilm conductivity (0.96–1.24 mScm^-1) was maintained during Eanode changes from -0.2 to +0.2 V versus the standard hydrogen electrode (SHE), although the steady-state current density significantly decreased from 2.05 to 0.35 Am^-2 in a microbial electrochemical cell. Substantial increase of the Treponema population was observed in the biofilm anode at Eanode=+0.2 V, which reduced intracellular electron-transfer kinetics associated with the maximum specific substrate-utilization rate by a factor of ten. This result suggests that fast EET kinetics can be maintained under dynamic Eanode conditions in a highly conductive biofilm anode as a result of shift of main EET players in the biofilm anode, although Eanode changes can influence IET kinetics. This dataset is associated with the following publication: Dhar, B., H. Ryu, H. Ren, J. Santodomingo, J. Chae, and H. Lee. High Biofilm Conductivity Maintained Despite Anode Potential Changes in a Geobacter-Enriched Biofilm. ChemSusChem. Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, GERMANY, 9(24): 3485 –3491, (2016).

A biofilm anode acclimated with acetate, acetate+methane, and methane growth media for over three years produced a steady current density of 1.6-2.3 mA/m^2 in a microbial electrochemical cell (MxC) fed with methane as the sole electron donor. Geobacter was the dominant genus for the bacterial domain (93%) in the biofilm anode, while methanogens (Methanocorpusculum labreanum and Methanosaeta concilii) accounted for 82% of the total archaeal clones in the biofilm. A fluorescence in situ hybridization (FISH) image clearly showed a biofilm of bacteria and archaea, supporting a syntrophic interaction between them for performing anaerobic oxidation of methane (AOM) in the biofilm anode. Measured cumulative coulombs correlated linearly to the methane-gas concentration in the range of 10% to 99.97% (R^2 ≥ 0.99) when the measurement was sustained for at least 50 min. Thus, cumulative coulombs over 50 min. could be used to quantify the methane concentration in gas samples. This dataset is associated with the following publication: Gao, Y., H. Ryu, B. Rittmann, A. Hussain, and H. Lee. Quantification of the methane concentration using anaerobic oxidation of methane coupled to extracellular electron transfer. Bioresource Technology. Elsevier Online, New York, NY, USA, 241: 979-984, (2017).

A-3txf_sequence summary.xksx: Abundance of contigs or unique sequences for each biofilm samples from anodes in the MEC reactor Hodon Waterloo final_fasta_working.docx: Raw sequences with their identification numbers RNA S1_MEC.docx: Representative sequences with their ID number and taxonomy. This dataset is associated with the following publication: Santodomingo, J., H. Ryu, B. Dhar, and H. Lee. Ohmic resistance affects microbial community and electrochemical kinetics in a multi-anode microbial electrochemical cell. JOURNAL OF POWER SOURCES. Elsevier Science Ltd, New York, NY, USA, 331: 315-321, (2016).

These data are bacterial 16S rRNA sequences and a taxonomic summary table for biofilm samples from the bio-reactors. The data may provide background/supporting information for other researchers who have a similar experimental plan with a microbial electrochemical cell reactor. This dataset is associated with the following publication: Santodomingo, J., H. Lee, B. Dhar, J. An, B. Rittmann, H. Ren, and J. Chae. The Roles of Biofilm Conductivity and Donor Substrate Kinetics in a Mixed-Culture Biofilm Anod. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(23): 12799-12807, (2016).

H2O2_COD_EPA: Measurements of hydrogen peroxide and COD concentrations for water samples from the MEC reactors. MEC_acclimation: raw data for current and voltage of the anode in the MEC reactor. This dataset is associated with the following publication: Sim, J., J. An, E. Elbeshbishy, R. Hodon, and H. Lee. Characterization and optimization of cathodic conditions for H2O2 synthesis in microbial electrochemical cells. Bioresource Technology. Elsevier Online, New York, NY, USA, 195: 31-36, (2015).

Data corresponding to the figures in the paper. This dataset is associated with the following publication: Xing, Y., A. Ellis, M. Magnuson, and W. Harper. Adsorption of bacteriophage MS2 to colloids: Kinetics and particle interactions. Colloids and Surfaces A: Physicochemical and Engineering Aspects. Elsevier B.V., Amsterdam, NETHERLANDS, 585: 124099, (2020).

Sequence reads (16S rDNA- and 16S rRNA-based) were processed and analyzed using Mothur software. The results presented in the attached Excel file. Also, the other MS word file includes taxonomic summary tables for bacterial communities on biofilms from the MAIFAS reactor as well as the detailed description of Materials & Methods. This dataset is associated with the following publication: Church, J., H. Ryu, A. Sadmani, A. Randall, J. Santodomingo, and W.H. Lee. Multiscale investigation of a symbiotic microalgal-integrated fixed film activated sludge (MAIFAS) process for nutrient removal and photo-oxygenation. Bioresource Technology. Elsevier Online, New York, NY, USA, 268: 128-138, (2018).

These data include raw sequencing data (bacterial 16S and eukaryote 18S rRNA genes) and a summary result table for bacteria classification in an Excel file. This dataset is associated with the following publication: Hwang, J., H. Ryu, K. Rodriguez, S. Fahad, J. SantoDomingo, A. Kushima, and W. Lee. A strategy for power generation from bilgewater using a photosynthetic microalgal fuel cell (MAFC). JOURNAL OF POWER SOURCES. Elsevier Science Ltd, New York, NY, USA, 484: 229222, (2021).