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:01ced3c2-17c6-4512-b73b-e065afed7bad
dcterms:title "Post-fire microbial data (16S DNA) from burned peat soil on the Stalybridge estate (UK), October 2018" ;
dcterms:identifier <https://catalogue.ceh.ac.uk/id/01ced3c2-17c6-4512-b73b-e065afed7bad> ;
adms:identifier <https://doi.org/10.5285/01ced3c2-17c6-4512-b73b-e065afed7bad> ;
dcterms:bibliographicCitation "Robroek, B.J.M., Shepherd, H.E.R., Sahar, N.E., Dumont, M.G. (2022). Post-fire microbial data (16S DNA) from burned peat soil on the Stalybridge estate (UK), October 2018. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/01ced3c2-17c6-4512-b73b-e065afed7bad" ;
dcterms:description "This dataset contains information on the Bacterial Amplicon Sequence Variant (ASV) abundance from peat soil sampled following a wildfire on the Stalybridge estate (UK) in June 2020. Samples were taken in 10 established plots at three time periods following the fire: approximately 3 months, 10 months and 12 months post-fire. This was taken at two depths: 0 – 5cm from the surface (top) and 5 – 10 cm from the surface (bottom). The 10 plots were divided into two groups of five, one that was observed to have suffered a light burn (termed shallow burn) and one that received a more severe burn (termed deep burn). Five additional plots were sampled at the same time as the 3-month samples from a neighbouring unburned site (termed control plots). Samples where no ASVs were observed were removed from the dataset." ;
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rdfs:label "DNA was extracted from the peat soil using the QIAGEN DNeasy powersoil kit, following standard manual specifications. The extracted DNA was then sequenced through the use of high-throughput sequencing, using 515F/806R primers that target the V4 region of the 16S rRNA. Results from the sequencing were then cleaned and prepared using the DADA2 pipeline to produce the ASV table."
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dcterms:publisher <https://ror.org/04xw4m193> ;
dcterms:subject
"Blanket bog",
"Moorland",
"Peatland",
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