ArticleData in brief2026
Dataset characterising dominant bacterial phylotypes across animal manure-enriched composting microcosms for crude oil waste sludge bioremediation.
Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
The dataset provides a complete record of microbial, functional, physicochemical, and contaminant dynamics from controlled co-composting microcosms designed to remediate petroleum refinery sludge using targeted animal manure amendments. Five treatments-cow, pig, horse, and poultry manures, as well as an unamended control-were monitored over 300 days. The study incorporated amplicon-based 16S rRNA gene sequencing, functional gene inference, culture-based validation, bulk chemistry, and chromatographic analyses. Illumina MiSeq profiling of the V1-V3 regions identified 359 bacterial genera (raw OTU-level assignments prior to quality and abundance filtering) across 17 phyla, with taxonomic inventories structured from phylum to genus. Alpha and beta diversity measures demonstrated treatment-dependent community assembly, with the highest richness and diversity observed in cow-manure microcosms-pig and poultry amendments selectively enriched hydrocarbon-degrading taxa, including
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