This dataset contains seed counts of Eschscholzia californica plants introduced to form experimental arrays within habitats comprising different floral cover. Data was collected in June 2015 at the Hillesden estate, Buckinghamshire, UK. Experimental arrays comprised of three E.californica plants separated by 1m and arranged in a triangular formation. A total of sixteen arrays were introduced across four 100 hectare replicate blocks, each separated by >500m. At the centre of each block, four experimental arrays were placed at 50m intervals along a 150m transect laid symmetrically across the boundary between an established wildflower patch and bare, fallow ground or grazed grassland (two arrays within the florally rich habitat and two arrays within the florally poor habitat). On each plant, the seed set was measured for flowers which were exposed and excluded from pollinators to determine the effects of habitat context on plant reproduction. The dataset was part of a larger experiment looking at the effect of floral resources on the pollination services to isolated plants. Full details about this dataset can be found at https://doi.org/10.5285/5b400b69-b828-45e8-b04e-7ccbfdb0987f

Data comprise of thirteen different ecosystem services that were modelled at the 1 km^2 resolution across Great Britain, mostly using data from 2015. The ecosystem services modelled were potential crop Production (in terms of calories), pollinator visits, greenhouse gas sequestration, two measures of biodiversity (biodiversity conservation index and richness index), erosion avoided, potential grassland productivity, nutrient retention, water retention, water yield, and potential timber yield. Full details about this dataset can be found at https://doi.org/10.5285/ea7f988d-5efe-44f9-84e9-2e4006166cf6

This dataset contains information about moth abundance and pollen transport at sites lit by high-pressure sodium streetlights and unlit control sites. Moths were sampled at 20 matched pairs of lit and unlit sites within 40 km of Wallingford, Oxfordshire, UK (51°35' N, 1°8' W) during 2014, as part of a study of the effects of street lighting on moths and nocturnal pollen transport. Three sampling methods were used: night-time transects, light-traps and overhead flight activity surveys. Moths captured were identified, counted, and sampled for pollen transported on the proboscis, which was in turn identified and counted. The work was supported by the Natural Environment Research Council (Grant ID: NE/K007394/1). Full details about this dataset can be found at https://doi.org/10.5285/31cc5cec-d33b-4dd6-a932-061ff947e708

This resource comprises abundance data for invertebrates, pest damage to apples, and yields from an agroforestry system subject to two different understorey management treatments, comprising an unmown flowering understorey and a mown understorey. The data was collected from an intercropped apple-arable agroforestry site in Screveton, Nottinghamshire, UK, from five experimental blocks, each block split between the two understorey management treatments. The data was collected between April and September 2020. Data was collected using (i) pitfall traps, (ii) sticky traps, (iii) visual searches of apple trees for natural enemies, pests and fruit damage from pests and disease, (iv) flower visitation counts for pollinators, (v) apple fruit yield and quality metrics, and (vi) grain yield samples. The data was collected to compare the effect of understorey management in agroforestry on functional invertebrates and associated ecosystem services. All data was collected by Tom Staton (University of Reading). Three pitfall traps were damaged and are excluded from the dataset, comprising (i) Visit 1, Block 2, Mown treatment, Position 4; (ii) Visit 4, Block 2, Mown treatment, Position 3; and (iii) Visit 4, Block 3, Unmown treatment, Position 2. The research was funded under NERC grant NE/R012229/1 Quantitative and Modelling Skills in Ecology and Evolution (QMEE) CDT Full details about this dataset can be found at https://doi.org/10.5285/83a10b11-23ef-4378-a56d-c63cce365275

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

This data set represents field-based monitoring of insect pollinator communities found within soya (Glycine max L. Merril) crops located along a latitudinal gradient ranging from -37.669486 to -24.495121 covering both Argentina and Brazil. Yield data was also collected from these same sites to elucidate the dependencies of this crop on insect pollination with a focus on managed and wild pollinators. Data was collected over multiple seasons between 2020 and 2022. Soybean is one of the most traded agricultural commodities and is of significant economic importance in South America. Full details about this dataset can be found at https://doi.org/10.5285/2bd21042-ebbc-4454-8ca3-96e18333ccd2

The dataset contains concentrations of nitrogen oxides (NO and NO2, collectively NOx) and ozone (O3), frequencies of insect pollinators and flower visits and yield metrics of Brassica nigra plants collected from within eight field-based fumigation rings located at the University of Reading's Sonning Farm, UK. Full details about this dataset can be found at https://doi.org/10.5285/d2e0cf65-010c-4206-8302-195449d0acba