Results of a survey undertaken in 2018 involving a range of open and closed questions intended to elicit local residents’ values they attach to the importance of coastal attributes and their perceptions of various tidal and wave energy development characteristics. Three case study sites were selected: Weston-super-Mare, Minehead, and the Taw-Torridge Estuary, South-West UK. Full details about this dataset can be found at https://doi.org/10.5285/e5190fd0-2995-42aa-aca0-80714abde768

[THIS DATASET HAS BEEN WITHDRAWN]. The greenhouse gas (GHG) emissions represent the amount of greenhouse gases (nitrous oxide, methane and carbon dioxide) emissions associated with the annual production of seven livestock commodities, considering the following processes: enteric fermentation, manure deposition on grassland, manure management on farm; application of manure on feed crops and application of synthetic fertiliser on grassland and feed crops, plus other cropland emissions for feed crops (e.g. methane from rice cultivation). We also provide the greenhouse gas emission intensities, which indicate the amount of greenhouse gas emissions per unit of mass of animal products produced annually. The considered livestock commodities are: bovine meat and milk, small ruminant (sheep and goat) meat and milk, pig meat, poultry (chicken, ducks) meat, and poultry eggs. The resolution is 5 arc minute, across the global land area, for the period of 1997-2003. Full details about this dataset can be found at https://doi.org/10.5285/76f8c5c0-6dde-407a-9710-2bca2e041512

The greenhouse gas (GHG) emission represent the amount of greenhouse gases (nitrous oxide, methane and carbon dioxide) emissions associated with the annual production of seven livestock commodities, considering the following processes: enteric fermentation, manure deposition on grassland, manure management on farm; application of manure on feed crops and application of synthetic fertiliser on grassland and feed crops, plus other cropland emissions for feed crops (e.g. peatland drainage and methane from rice cultivation). We also provide the greenhouse gas emission intensities, which indicate the amount of greenhouse gas emissions per unit of mass of animal products produced annually. The considered livestock commodities are: bovine ('BV') meat and milk, small ruminant (sheep and goat, 'SG') meat and milk, pig (PG) meat, poultry (chicken, ducks, 'PT') meat, and poultry eggs. The resolution is 5 arc minute, across the global land area, for the period around year 2000. The greenhouse gas (GHG) emission represent the amount of greenhouse gases (nitrous oxide, methane and carbon dioxide) emissions associated with the annual production of 172 cultivated crops, considering the following processes: application of manure and synthetic fertiliser on cropland, peatland drainage, and methane from rice cultivation. Full details about this dataset can be found at https://doi.org/10.5285/ccbd5c0b-21b2-40ce-bafd-6ccea4a270a4

This dataset is a ranked list of risks to Scotland from 196 Phytophthora species, including most of the approximately 240 formally described or provisionally named species in the genus globally. Arrival and establishment risks are scored and joined with information on surveillance of known hosts within inspected premises in Scotland (introduction risks). Potential impacts are scored using information on global Phytophthora-host interactions extracted from a global database of Phytophthora records to identify at risk hosts and score the level of threat to hosts and habitats within Scotland. The ranked list was developed to support prioritisation among future Phytophthora threats to Scotland. All risks were scored by the UKCEH project team, informed by a self-completion survey and two workshops with 15 stakeholders from across Scotland's plant health sector, including forestry, conservation, horticulture, and government agencies. Full details about this dataset can be found at https://doi.org/10.5285/72e8f817-01a6-42d2-b187-a5ebf43853a1

The dataset comprises output data from a Life Cycle Assessment (LCA) model focused on compostable nappies. It includes detailed information on various life cycle stages (manufacture, transport, use, collection, and disposal) and the environmental impact associated with each. The data is structured as CSV files, detailing material inputs, energy consumption, and resulting environmental outputs. The dataset facilitates the analysis of different end-of-life scenarios for compostable nappies, including landfill, incineration, and composting. Full details about this dataset can be found at https://doi.org/10.5285/dcb5904b-0e5a-4065-842a-b8ee8ec8554e

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 beet 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, SCRI (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/10.5285/86cd1a60-64f1-4087-a9f1-a3d8a9f8f535

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