PRJNA664393
Geochemistry, total and active microbial composition, and antimicrobial resistant genes are used to create random forest predictive models of unconventional oil and gas activity in streams in Pennsylvania
This study used 16S and metatranscriptomics data to evaluate hydraulic fracturing's impact on nearby streams, in addition to geochemistry and land cover data, and to create random forest models to predict the presence of nearby fracking activity.