This data was collected from co-evolving bacterial populations containing Pseudomonas fluorescens strain SBW25 and a plasmid, pQBR57. The composition of the community was tracked using flow cytometry to distinguish 1) an unlabelled wild type strain 2) a dTomato compensated host (SBW25 KO PFLU4242), and 3) a wild type host bearing a Green fluorescent protein (GFP) labelled compensated plasmid (pQBR57 KO 0059). Full details about this dataset can be found at https://doi.org/10.5285/51046841-deaa-422f-a303-2c0759f014b4

This dataset describes the composition of a co-evolving community (as colony forming units) over a 30-transfer selection experiment in soil microcosms. The community consists of Pseudomonas fluorescens SBW25 + Pseudomonas putida KT2440 + plasmid pQBR57. Full details about this dataset can be found at https://doi.org/10.5285/9da9bf05-fdbf-41f9-8591-1a4af9b84000

This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides UK estimates monthly averaged atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen at 3x3 km2 grid for the years 2002 to 2021. The data consists of atmospheric deposition values of oxidised sulphur, oxidised nitrogen, and reduced nitrogen. The EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.2.2. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/904af4a0-d66d-460d-82eb-c8965e161b3e

The data describe vegetation outlines and tree tops above 1m in height as polylines and points. Data have been processed from a digital terrain model (DTM) and digital surface model (DSM), converted from raw LiDAR data. The LiDAR dataset was acquired for Cornwall and Devon (all the land west of Exmouth) during the months of July and August 2013. The data were created as part of the Tellus South West project. Full details about this dataset can be found at https://doi.org/10.5285/78dba959-989b-43d4-b4da-efd2506e0c8e

Morphological and life history data collected from three bat species, Barbastella barbastellus, Plecotus auritus and Myotis escalerai, captured in England, Spain and Portugal to study adaptive responses to climate change. The data includes species identity, location of capture at 10 km resolution, date of capture, sex, age category, reproductive condition, forearm length (in millimetres) and body mass (in grams). Full details about this dataset can be found at https://doi.org/10.5285/dd90c2fa-e6c6-4fc7-a578-b7e4a622dddf

[This dataset is embargoed until September 30, 2023]. The data provide information on a number of male cricket behaviours organized according to time and duration of the behaviour. Also included are the mean temperature at the ground level for the duration of each observation. Full details about this dataset can be found at https://doi.org/10.5285/f56d3d1c-28f2-4667-90b0-ef352243dd2a

This data resource provides plot-level habitat data for the first eight years (2015-2022) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). Data consist of surveyor-recorded habitat information on repeated samples of fixed plots at the metre-scale. Other information includes the date of sampling, data regarding the spatial location of the plot, and an assessment of whether or not the recorded broad habitat is reported to have changed between surveyor visits. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/a12b5c70-c0e2-48cf-b0b7-3e95791feca9

The dataset presents data on female mate choice totals for different species pair combinations. Data are presented for wild types and inbred lines of Drosophila simulans and Drosophilia sechellia females. Most of the data was generated in a laboratory at Stony Brook University, with some at Oxford University. Each test was conducted in 28.5 x 95mm plastic vials. Data was collected at different points between 2014 and 2021 by the lead data author. The work was conducted on mate choice preferences to determine how preferences vary between strains, species and among hybrids. Work was funded under NERC grant NERC NE/S010351/1. Investigating the dual role of mate choice genes in behavioural isolation and hybridization. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/361621ad-6487-47a4-bf8b-00f78705e593

This data resource provides plot-level plant occurrence data for the first eight years (2015-2022) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). Data consist of individual observations of plants, and other habitat characteristics, at the metre-scale; observations are accompanied by percentage cover information recorded according to the Domin frequency-abundance scale commonly used in plant community ecology. Other information provided includes the plot type (size, shape, according to the NPMS classification), the volunteer-recorded NPMS habitat, the date of sampling, and information regarding the spatial location of the plot. Information contained within the metadata file should allow users to reconstruct the sampling history (including gaps) of any plot that has been sampled within the NPMS scheme between 2015 and 2022. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/f7ef2dc5-2bce-4436-8f65-90f7a99acff2

The dataset provides transcripts from focus groups in Salima, Mangochi and Zomba (Malawi). The focus groups' discussions concern the monthly agricultural activities in association with the climate services and extreme weather events. The data were produced as part of NERC Program Science for Humanitarian Emergencies and Resilience (SHEAR). Grant reference - Improving Preparedness to Agro-Climatic Extremes in Malawi (IPACE-Malawi). Full details about this dataset can be found at https://doi.org/10.5285/2b8cb09f-9348-4115-a90e-818eade599af