[THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains information on soil microbial communities, soil physicochemical properties, forest structural and environmental characteristics across a contiguous area of forest that has undergone contrasting logging disturbance and restoration in Sabah, northern Malaysian Borneo. Sampling was conducted as part of a study investigating soil microbial community responses to either active restoration (enrichment planting) or passive restoration (natural regeneration) of selectively logged forest, relative to old-growth soil microbial communities. This work was supported through the UK Natural Environment Research Council (NERC) Human Modified Tropical Forests Programme (Biodiversity and Land-use Impacts on Tropical Ecosystem Function (BALI) consortium [NE/K016253/1]), ENVISION Doctoral Training Scheme [NE/L002604/1] and NC International Programme [NE/X006247/1]. Full details about this dataset can be found at https://doi.org/10.5285/9feab716-0642-4ab9-a363-d73d135a48b9

Data comprise site location, soil chemistry (pH, soil moisture), soil radionuclide activity concentrations (the isotopes measured were: Americium-241, Caesium-137, Plutonium-238, -239 and -240, Strontium-90 (K-40 and U-238 activity concentrations were estimated from stable element data) and soil biological activity (derived from application of bait lamina sticks) at 18 sites in the Chernobyl Exclusion Zone (CEZ), Ukraine in 2016; data for four sites in 2005 are also presented. Estimate absorbed radionuclide dose rates to soil invertebrates and bacteria are also presented. The primary purpose of these data was to enable an evaluation of the potential impact of radiation on soil organisms. The work was carried out by UKCEH, Chernobyl Centre for Nuclear Safety and the University of Salford. Funding for this work was via the TREE project funded by NERC, Environment Agency and Radioactive Waste Management Ltd. under the RATE programme. Full details about this dataset can be found at https://doi.org/10.5285/19babe1c-b3a3-488c-b4fe-ebb4ab9237d8

This dataset contains information on soil microbial communities, soil physicochemical properties, forest structural and environmental characteristics across a contiguous area of forest that has undergone contrasting logging disturbance and restoration in Sabah, northern Malaysian Borneo. Sampling was conducted as part of a study investigating soil microbial community responses to either active restoration (enrichment planting) or passive restoration (natural regeneration) of selectively logged forest, relative to old-growth soil microbial communities. This work was supported through the UK Natural Environment Research Council (NERC) Human Modified Tropical Forests Programme (Biodiversity and Land-use Impacts on Tropical Ecosystem Function (BALI) consortium [NE/K016253/1]), ENVISION Doctoral Training Scheme [NE/L002604/1] and NC International Programme [NE/X006247/1]. Full details about this dataset can be found at https://doi.org/10.5285/08bfe302-d33f-490d-97be-27bb83a0f38d

This dataset contains untargeted metabolomic profiles of paired cultures of 4 interacting Streptomyces bacteria. The bacteria were originally isolated from a nature reserve in Minnesota USA. Daily samples of spot cultures grown in adjacent pairs on solid ISP2 medium were taken from day 2 to 6 in triplicate. Metabolites were obtained by cold methanol extraction, and liquid chromatography-mass spectrometry data was collected in both positive and negative ionisation modes. This dataset contains raw LC-MS (liquid chromatography mass spectrometry) data converted to the open-source .mzML format, of each sample run in both positive and negative ionisation modes. This includes, mass-to-charge measurements, elution time, and ion count intensity. These data were collected to investigate how the metabolism of the interacting strains changes in response to neighbouring bacterial cultures. This work was funded by NERC (NE/T010959/1) and National Science Foundation (USA, 1935458). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/475d6c02-45bb-4ac4-a31a-4a23c7c9cb2e

This dataset contains features detected by untargeted metabolomics analysis of paired cultures of 4 interacting Streptomyces bacteria. The bacteria were originally isolated from a nature reserve in Minnesota USA. Daily samples of spot cultures grown in adjacent pairs on solid ISP2 medium were taken from day 2 to 6 in triplicate. Metabolites were obtained by cold methanol extraction, and liquid chromatography-mass spectrometry data was collected in both positive and negative ionisation modes. This dataset contains the mass-to-charge (m/z) and retention time of identified peaks, and their ion intensity in each sample. The relative abundance of these identified features was later compared between pairs of interacting strains to gain insight into changes in their metabolism. This work was funded by NERC (NE/T010959/1) and National Science Foundation (USA, 1935458). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/4921f306-5efa-4bf7-a15e-a157c2665889

The data consist of standardised counts of taxon abundances (bacteria, fungi and micro eukaryotes) from soil samples collected from paired intensive and extensive grassland systems, including low and high pH parent soils, from 32 sites across the United Kingdom. The samples were collected during winter and spring 2015-2016 from sites across the UK. DNA were extracted and taxonomic marker genes assessed using high-throughput DNA sequencing techniques to yield information about the genetic diversity and abundance of the microorganisms therein. The data were collected to help understand soil functional change in a variety of management and climatic scenarios as part of NERC U-GRASS (Understanding and enhancing soil ecosystem services and resilience in UK grass and croplands) award (NERC Reference NE/M017125/1) part of the NERC Soil Security Programme. Full details about this dataset can be found at https://doi.org/10.5285/11bc98b8-5f2b-4a25-804c-16010052cdb7