[This dataset is embargoed until March 13, 2026]. All data were collected in 15 plots across Wytham Woods, near Oxford in southern England. The data contributed to a project on the ecological impact of ash dieback and were used to quantify the differences between habitats with varying levels of ash dieback represented by different treatments as outlined in the metadata. Ground flora species and percentage cover collected in May between 2021–2024. Monthly (bi-weekly in autumn) fine litter fall data separated into categories of e.g. twigs, leaves, seeds, etc. Dry weights are available for each category along with days between sampling occasions and litter fall trap size. Data available between 2020–2024. Leaf litter feeding invertebrate data collected on four occasions between September–November 2022. Invertebrate wet weights are available from replicated soil pits and quadrats across 15 plots enabling both spatial and temporal analyses. Full details about this dataset can be found at https://doi.org/10.5285/2dbbe33b-582b-434e-92f6-9c7786a37ce9

The Pantheon database contains habitat-related traits, feeding guilds, conservation status (including rarity and threat status), legal protection data and associations with other taxa for just over 11,700 invertebrates. The database has been developed for invertebrates within England so the data should be used with caution when applying it to invertebrates of other countries. The data have been extracted from numerous sources within the published literature and compiled and categorised by entomological experts over a number of years. The database also includes (and supersedes) species assemblage types (SATs) from the Invertebrate Species-habitat Information System (ISIS). Species names have been linked with the Taxon Version Key (TVK; unique identifier) from the UK Species Inventory, held by the Natural History Museum, where possible. Overall the database holds 154,072 records. The database was developed by Natural England and the Centre for Ecology & Hydrology as part of a development of online analytical tools to benefit invertebrate conservation and site assessments. Full details about this dataset can be found at https://doi.org/10.5285/2a353d2d-c1b9-4bf7-8702-9e78910844bc

This dataset contains biodiversity data focussing on invertebrates (soil, ground, tree canopy), and plants collected from The Carbon Community woodland creation experiment in Wales. This includes measurements from 72 plots, covering experimental treatment combinations of woodland type (native broadleaf vs sitka spruce), enhanced weathering (with/without basalt addition), and soil microbiome inoculation (with/without soil from mature habitat type), compared to a grassland control treatment. The experiment was established in April 2021 and aims to assess strategies for maximising woodland carbon storage. The biodiversity data from each experimental plot was collected in summer 2023. Full details about this dataset can be found at https://doi.org/10.5285/dea46de1-9072-4342-b944-e485ccc1324a

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

The ICEBERGS project aimed to understand the impact of retreating coastal glaciers upon benthic marine ecosystems along the West Antarctic Peninsula (WAP). This was a collaboration project between University of Exeter, the British Antarctic Survey, Universidad Catololica de Santiago de Concepcion and Bangor University. During three research cruises (JR17001, JR18003 and JR19002) between 2017 and 2020, biological specimens along with other scientific data and samples were collected from three coastal fjords (i.e. Marian Cove, Borgen Bay and Sheldon Cove). The biological samples were collected using mainly a benthic Agassiz trawl and some using a Hamon grab and they were either preserved in ethanol or dry. Funding: The funding for this grant was provided from NERC and from CONICYT Chile (NERC-CONICYT; NE/P003087/1).

The dataset contains occupancy estimates for 1,535 species of six invertebrate taxa (Apoidea - bees, Syrphidae - hoverflies, Coccinellidae - ladybirds, Arachnida - spiders, Carabidae - carabids and Heteroptera - plant bugs) in regions of high, low and no cropland cover in Great Britain between 1990 and 2019. Occupancy is the proportion of 1km grid cells occupied by a species, as estimated by an occupancy-detection model. The dataset includes 999 samples from the model’s posterior distribution per species:year combination and for each of three regions of high, low and no cropland cover. Full details about this dataset can be found at https://doi.org/10.5285/28538610-0936-48b8-b167-ee6ee8fdc491

This dataset consists of farm management data which includes crop drilling dates and herbicide application dates. The data relate to arable fields in which a range of ecological measurements were collected, including species counts in the following areas: weed seedbank, vegetation in the crop, field edge vegetation, invertebrates. Each field was sown with a combination of genetically modified and conventional crops, either Beet, Maize, Spring-sown Oilseed Rape or Winter-sown oilseed Rape. The data were collected as part of the Farm Scale Evaluations (FSEs), a four-year programme of research by independent researchers aimed at studying the effect that the management practices associated with Genetically Modified Herbicide Tolerant (GMHT) crops might have on farmland wildlife, when compared with weed control used with non-GM crops. Data were collected by a consortium of: the Institute of Terrestrial Ecology, ITE (now the Centre for Ecology & Hydrology, CEH), the Institute of Arable Crop Research (now Rothamstead Research, IACR) and the Scottish Crop Research Institute, SCRI (now the James Hutton Institute, JHI). Data were collected for four crops overall (Beet, Maize, Spring-sown Oilseed Rape and Winter-sown oilseed Rape).

This dataset consists of a range of ecological measurements collected from a set of arable fields, each sown with a combination of genetically modified and conventional maize crops. Measurements include species counts in the following areas: weed seedbank, vegetation in the crop, field edge vegetation, invertebrates. The data were collected as part of the Farm Scale Evaluations (FSEs), a four-year programme of research by independent researchers aimed at studying the effect that the management practices associated with Genetically Modified Herbicide Tolerant (GMHT) crops might have on farmland wildlife, when compared with weed control used with non-GM crops. Data were collected by a consortium of: the Institute of Terrestrial Ecology (now the Centre for Ecology &Hydrology), the Institute of Arable Crops Research (now Rothamsted Research) and the Scottish Crop Research Institute (now the James Hutton Institute). Data were collected for four crops overall (Beet, Maize, Spring-sown Oilseed Rape and Winter-sown oilseed Rape). Full details about this dataset can be found at https://doi.org/10.5285/ca6752ed-3a22-4790-a86d-afadaedda082