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This article provides comprehensive data on degradation performance and microbial dynamics derived from a set of 24 lab-scale batch anaerobic digesters involving various types of inhibitors and the addition of zeolite as a support material. In the first series of 12 digesters, three inhibitors were investigated at the following concentrations: 20 g/L of sodium chloride, 400 mg/L of erythromycin, and 5 mg/L of S-metolachlor. Each inhibitor was tested in triplicate, along with a control condition without inhibition. A parallel series was set up identically, except that 15 g/L of zeolite was introduced into each digester to mitigate the inhibition and promote the degradation process. The provided data comprises information regarding the experimental setup, monitoring measurements that assess the degradation performance (production, composition, and apparent isotopic factor of biogas, pH, dissolved inorganic and organic carbon and volatile fatty acids concentrations), microbial samples information, and 16S rRNA gene sequencing data that decipher changes in microbial structure. This datapaper is associated with research article [1] and presents both the sequencing data and the associated physicochemical data in a structured table format. The sequencing data were generated using the Ion Torrent PGM sequencer and have been deposited in the European Nucleotide Archive (ENA) database at EMBL-EBI under accession number PRJEB65129 (https://www.ebi.ac.uk/ena/browser/view/PRJEB65129), with sample accession numbers ranging from ERS16257742 to ERS16257691 [2]. The data serves as a valuable resource for comparisons with data from other studies on lab-scale batch anaerobic digesters, particularly those utilizing zeolite as a support material or involving inhibition caused by similar types of inhibitors (salts, antibiotics, or pesticides)., (© 2024 The Authors.)

This article presents comprehensive data derived from lab-scale batch anaerobic digesters that were subjected to inhibition by various sources of ammonia. To counter this inhibition, zeolite was introduced into selected digesters. The provided dataset offers a detailed depiction of degradation performance dynamics over time, as well as insights into both microbial and metabolic changes during the inhibition. In detail, 10 conditions were tested in triplicate. In a first series of 15 bioreactors ammonia was introduced to achieve a TAN concentration of 8 g/L, utilizing NH3 solution, NH 4 Cl salt, (NH 4 ) 2 CO 3 salt, or (NH 4 ) 2 PO 4 salt as inhibitors. A control condition without ammonia was also set up. A second series of 15 bioreactors was set up exactly as the first one, with the addition of zeolite at a concentration of 15 g/L. The data provided includes information on operational conditions, degradation performance measurements throughout the entire process (using biogas production and composition, dissolved organic and inorganic carbon, volatile fatty acids, pH, free and total ammonia nitrogen, apparent isotopic fractionation of biogas as indicators), microbial community analysis using 16S rRNA gene sequencing (50 samples analysed), and metabolomic analysis through liquid chromatography-mass spectrometry (LC-MS) (108 samples analysed). Sequencing data were generated by using IonTorrent PGM sequencer. The sequencing data have been deposited with links to project PRJEB52324, in ENA database from EBI (https://www.ebi.ac.uk/ena/browser/view/PRJEB52324). Sample accession numbers go from SAMEA14277573 to SAMEA14277621. The metabolomic data were generated using an LTQ Orbitrap XL mass spectrometer (Thermo Fisher Scientific, MA, US). The metabolomic data have been deposited to the EMBL-EBI MetaboLights database with the identifier MTBLS7859 (https://www.ebi.ac.uk/metabolights/MTBLS7859). This data can be used as a source for comparisons with other studies focusing on the inhibition of anaerobic digestion by ammonia, particularly in the context of exploring microbial or metabolomic dynamics during inhibition. Additionally it provides a multi-omic dataset (metataxonomic and metabolomic) with detailed associated metadata describing anaerobic digesters. The dataset is directly is associated to the research article titled "Inhibition of anaerobic digestion by various ammonia sources resulted in subtle differences in metabolite dynamics." [1]., (© 2024 The Author(s).)

Data in this article provides detailed information on the microbial dynamics and degradation performances in two full-scale anaerobic digesters operated in parallel for 476 days. One of them was kept at 35 °C for the whole experiment, while the other was submitted to sub-mesophilic (25 °C) conditions between days 123 and 373. Sludge samples were collected from both digesters at days 0, 80, 177, 218, 281, 353, and 462. The provided data include the operational conditions of the digesters and the characterization of the sludge samples at the physicochemical level, indicative of the digesters' degradation performance. It also includes the characterization of the sludge samples at the multiomics level (16S rRNA gene sequencing, metagenomics, and metabolomics profiling), to decipher the changes in the microbial structure and molecular activity. The 16S rDNA gene sequencing, metagenomics, and metabolomics data were generated using an IonTorrent PGM sequencer, an Illumina NextSeq 500 sequencer, and LTQ-Orbitrap XL mass spectrometer respectively. The 16S rDNA gene raw data and the metagenomics data have been deposited in the BioProject PRJEB49115, in the ENA database (https://www.ebi.ac.uk/ena/browser/view/PRJEB49115). The metabolomics data has been deposited at the Metabolomics Workbench, with study id ST002004 (DOI: 10.21228/M8JM6B). The data can be used as a source for comparisons with other studies working with data from full-scale anaerobic digesters, especially for those investigating the effect of the temperature modification. The data is associated with the research article " Metataxonomics, metagenomics, and metabolomics analysis of the influence of temperature modification in full-scale anaerobic digesters " (Puig-Castellví et al [1])., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships which have or could be perceived to have influenced the work reported in this article., (© 2022 The Authors. Published by Elsevier Inc.)