This dataset contains information about water quality based on faecal indicators at 15 lakes in the Greater Glasgow conurbation, Scotland. Lakes were sampled in winter (2016/17) and summer (2017) with faecal indicators being quantified at high spatial resolution (up to 60 points per lake depending on water body size) in sediment and water from each lake. Faecal indicators were quantified based on standard dilution, membrane filtration and incubation for water, and incubation in bacteria-specific broth, followed by plating and incubation for sediment extracts. Contextual information about water quality, water bird densities, and land cover in different buffer sizes is also provided for each lake. The data were collected to investigate how connectivity and stressors interact to determine biodiversity and ecosystem function in freshwaters. The work was supported by the Natural Environment Research Council grant NE/N006437/1 (Hydroscape: connectivity x stressor interactions in freshwater habitats) Full details about this dataset can be found at https://doi.org/10.5285/34df30f2-3163-4c11-8743-3732e49220fb

Dataset contains the Land Use/Land Cover (LULC) map under four scenarios (Trend, Expansion, Sustainability, and Conservation) in 2030 in the Luanhe River Basin (LRB), China, with a resolution of 1km. The scenarios were based on different socio-economic development and environmental protection targets, local plans and policies, and the information from a stakeholders’ workshop, to explore land system evolution trajectories of the LRB and major challenges that the river basin may face in the future. The map includes nine different land use classes: 1) Extensive cropland, 2) Medium intensive cropland, 3) Intensive cropland, 4) Forest, 5) Grassland with low livestock, 6) Grassland with high livestock, 7) Water, 8) Built-up area and 9) Unused land. The land system classification is based on three main classification factors: (1) land use and cover, (2) livestock, and (3) agricultural intensity. The data was funded by UK Research and Innovation (UKRI) through the Natural Environment Research Council’s (NERC) Towards a Sustainable Earth (TaSE) programme, for the project "River basins as 'living laboratories' for achieving sustainable development goals across national and sub-national scales" (Grant no. NE/S012427/1) . Full details about this dataset can be found at https://doi.org/10.5285/a94640dc-fe21-4c38-936b-d62dfca0c952

This dataset comprises bird abundance data collected using point count methods in Bedford, Luton and Milton Keynes in the summer of 2013. The purpose of the study was to characterise the variation in breeding bird fauna across a range of urban forms. As well as measuring the birds that were 'really' present, the survey aimed to investigate the birds detectable at times of day when people were more active and more likely to have casual encounters with them. These data were collected as part of the Fragments, Functions and Flows in Urban Ecosystem Services (F3UES) project, as part of the Biodiversity and Ecosystem Service Sustainability (BESS) framework. Full details about this dataset can be found at https://doi.org/10.5285/c4806e25-5325-4b01-8066-91a8fb55eb41

The data describe the ecological responses (invertebrate diversity and biomass, plant diversity, soil characteristics and microbial diversity) to experimental manipulation of floristic diversity and vegetation height in planted urban meadows. The experiment consisted of a replicated set of nine different perennial meadow treatments, sown in six public urban greenspaces in the towns of Bedford and Luton, in the UK. Full details about this dataset can be found at https://doi.org/10.5285/d0741544-cdf3-497d-996b-e30b4b7373c1

The data describe a set of field surveys to assess conditions along public walking routes. A spectrum of urban forms was identified in the towns of Bedford, Luton and Milton Keynes, in the UK. A sample of these were surveyed on foot to measure biodiversity and environmental conditions during the day. These were supplemented with landscape-scale remotely sensed data characterising the surrounding landscape. Full details about this dataset can be found at https://doi.org/10.5285/65b23264-2991-4ce2-83e7-7729a3947d75

This is a polygon (land parcel) dataset describing the entire land surface of GB in 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. Each land parcel contains attributes which include the land cover type and classification confidence. Full details of this and all UKCEH LCM2020 products are available from the LCM2020 product documentation which accompanies this data. Full details about this dataset can be found at https://doi.org/10.5285/0e99d57e-1757-451f-ac9d-92fd1256f02a