Bacterial distribution in soil microhabitats at different spatial scales

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dc.contributor.authorOtten, Wilfred
dc.contributor.authorEickhorst, Thilo
dc.contributor.authorJuyal, Archana
dc.contributor.authorFalconer, Ruth
dc.contributor.authorHapca, Simona
dc.contributor.authorSchmidt, Hannes
dc.contributor.authorC Baveye, Philippe
dc.date.accessioned2024-06-10T05:54:30Z
dc.date.available2024-06-10T05:54:30Z
dc.date.issued2018-08-08 16:11
dc.description.abstractThe data underpin the results described in the Geoderma paper by Juyal et al (2018) https://doi.org/10.1016/j.geoderma.2018.07.031 entitled 'Combination of techniques to quantify the distribution of bacteria in their soil microhabitats at different spatial scales'. The data are represented in an Excel file and show counts of bacteria in individual sections of soil blocks and their corresponding pore geometry as determined by Xray CT at three different spatial scales. The data underpin the summary data described in the paper where a detailed method description is also provided.
dc.description.sponsorshipIntegrating physical and chemical techniques to characterise soil micro-sites
dc.identifier.citationOtten, Wilfred; Eickhorst, Thilo; Juyal, Archana; Falconer, Ruth; Hapca, Simona; Schmidt, Hannes; et al. (2018). Bacterial distribution in soil microhabitats at different spatial scales. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.6860717
dc.identifier.doi10.17862/cranfield.rd.6860717
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22276
dc.publisherCranfield University
dc.relation.isreferencedbyhttps://doi.org/10.1016/j.geoderma.2018.07.031'
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectsoil thin section'
dc.subject'Pseudomonas'
dc.subject'Soil microhabitat'
dc.subject'fluorescence microscopy'
dc.subject'X-ray CT'
dc.subject'Soil Science'
dc.subject'Soil Biology'
dc.subject'Soil Physics'
dc.titleBacterial distribution in soil microhabitats at different spatial scales
dc.typeDataset

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