Data underpinning "Microscale heterogeneity of the spatial distribution of organic matter can promote bacterial biodiversity in soils: Insights from computer simulations"

dc.contributor.authorPortell-Canal, Xavier
dc.contributor.authorPot, Valérie
dc.contributor.authorGarnier, Patricia
dc.contributor.authorOtten, Wilfred
dc.contributor.authorBaveye, Philippe
dc.date.accessioned2024-06-10T05:54:28Z
dc.date.available2024-06-10T05:54:28Z
dc.date.issued2018-07-30 11:12
dc.description.abstractFigures and data used in the paper "Microscale heterogeneity of the spatial distribution of organic matter can promote bacterial biodiversity in soils: Insights from computer simulations". See readme.txt file in the compressed files (.7z) for a description of the files included in the folder.
dc.description.sponsorshipNatural Environment Research Council (NE/P014208/1); ANR Project Soil-µ3D (Number ANR-15-CE01-0006-01)
dc.identifier.citationPortell-Canal, Xavier; Pot, Valérie; Garnier, Patricia; Otten, Wilfred; Baveye, Philippe (2018). Data underpinning "Microscale heterogeneity of the spatial distribution of organic matter can promote bacterial biodiversity in soils: Insights from computer simulations". Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.6744158.v1
dc.identifier.doi10.17862/cranfield.rd.6744158
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22274
dc.publisherCranfield University
dc.relation.isreferencedbyhttps://doi.org/10.3389/fmicb.2018.01583'
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectSoil
dc.subjectpore scale
dc.subjectorganic matter
dc.subjectresource allocation
dc.subjectbacteria
dc.subjectbiodiversity
dc.subjectagent-based modeling'
dc.subject'Soil Science'
dc.subject'Soil Biology'
dc.subject'Simulation and Modelling'
dc.subject'Conservation and Biodiversity'
dc.subject'Microbiology'
dc.titleData underpinning "Microscale heterogeneity of the spatial distribution of organic matter can promote bacterial biodiversity in soils: Insights from computer simulations"
dc.typeDataset

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