The dataset provides transcripts from focus groups in Salima, Mangochi and Zomba (Malawi). The focus groups' discussions focused on important monthly agricultural activities in association with the climate services and extreme weather events. This outlined how climatic factors affected agricultural decision-making. 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/10.5285/199b0046-79a3-4e74-8152-17f10c376671

This data is the fruit set and marketable fruit set (percentage and success: failure) of commercial raspberry plants under four different pollination treatments. The data also includes fruit measurements (weight in grams and length and width in mms) of these fruit and the number of seeds per fruit for a subset of the collected fruits. Full details about this dataset can be found at https://doi.org/10.5285/de5b4f33-f679-4798-8daf-51a314e78204

Dataset comprising data on the lifetime reproductive success (LRS) of 879 individually marked long-tailed tits Aegithalos caudatus, a cooperatively breeding passerine. LRS is measured in terms of the number of local recruits into the breeding population in the study area, controlling for fledgling sex and extra-pair paternity. LRS data are then partitioned into direct and indirect fitness components, quantified as genetic equivalents. Partitioning of fitness follows Hamilton’s definition of inclusive fitness: (a) direct fitness is measured as the production of offspring, stripped of the social effect of helpers on productivity; (b) indirect fitness is calculated from the mean marginal effect of a helper on productivity, adjusted for helper relatedness. Inclusive fitness is calculated by summing direct and indirect fitness. Full details about this dataset can be found at https://doi.org/10.5285/0e55f507-e5bd-4678-a5ea-8c3ffb62d3ac

The data consists of names, types, voltages, constraint status and national grid references for 56,865 electricity substations (33 kV or larger) in Great Britain in 2018. It was compiled from information on individual transmission or distribution network operator websites and interpreted to produce a classification of constraint status (where applicable). The data set was compiled from information on individual transmission or distribution network operator websites. The work was funded by the Natural Environment Research Council Award NE/M019713/1. Full details about this dataset can be found at https://doi.org/10.5285/0eed5c99-f409-4329-a98e-47f496bb88a2

Dataset contains lists of plant indicator species extracted from the JNCC Common Standards habitat monitoring guidance for the UK. The Common Standards Monitoring (CSM) approach was developed in order to standardise the monitoring of designated nature conservation sites. As well as extracting (and sometimes interpreting) the plant species noted in the CSM guidance documents, we provide links to CSM habitats, National Vegetation Classification communities, National Plant Monitoring Scheme (www.npms.org.uk) indicator species, and provide current taxonomic names in a lookup table. 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/10.5285/2c433c5b-8d15-49a7-aae7-b1f027d17e0e

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 model code provides an example to demonstrate a new application of the 'learnr' R package to help authors to make elements of their research analysis more readily reproducible to users. It turns a R Markdown document to guided, editable, isolated, executable, and resettable code sandboxes where users can readily experiment with altering the codes exposed Full details about this application can be found at https://doi.org/10.5285/df57b002-2a42-4a7d-854f-870dd867618c

This model combines the carbon footprint of a reforestation project in the Peruvian amazon with a biomass model of the growing trees and a soil carbon model. The script aims at estimating the net carbon capture potential of a growing forest located in the Peruvian amazon and on degraded sandy soil only. It compares the emissions associated with setting up a reforestation plot (from seed reception to seedling transplant) with the expected carbon capture by the growing trees and increased soil carbon stock at a desired timescale. The model includes the production, use, and degradation of biochar. This model was produced within the Soils-R-GGREAT project, funded by NERC. Full details about this application can be found at https://doi.org/10.5285/ef45a7de-035a-486c-9cef-ee7f78a8efcf

The data contains site characteristics (water body type, elevation, catchment area) and water chemistry data (pH, dissolved and particulate organic carbon concentrations (DOC and POC)). The composition of DOM extracted by different methods was analysed by elemental analysis; there are data for carbon, hydrogen and nitrogen content. The dataset result from an experiment to determine the reliability of various methods to extract dissolved organic matter (DOM) from freshwaters in the UK. Full details about this dataset can be found at https://doi.org/10.5285/3c77e7bf-78a0-433c-b260-b630e9a36cc0

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