The results of an analysis of the connectivity of sixteen priority habitat networks in England using the Condatis methodology. The dataset includes conductance scores for each of the priority habitat networks (an overall assessment of how connected the habitat network is), the flow scores for each contiguous habitat patch within each of the habitat networks (the importance of that patch to connectivity), as well as details of protection. Additionally, the dataset includes data and scripts needed to run a demonstration Condatis analysis, and produced the figures used in Travers et al., 2021 (in prep.). Dispersal distances of 2, 4 and 8 km were used as inputs into Condatis. The outputs of connectivity assessments using those dispersal figures were geometrically averaged to provide results summing up the connectedness of a habitat network over a range of dispersal abilities. To determine how much connectivity (flow), and which patches were protected in each habitat network they were overlaid with SSSI and NNR spatial data. If more than 50% of a patch’s area was covered by a protected area it was determined to be protected. Full details about this dataset can be found at https://doi.org/10.5285/a715112e-08ae-4d6e-943a-77933fd5ddd1

This dataset contains genotypes (in three digit-format) for unique clones of the freshwater bryozoan species Cristatella mucedo and Fredericella sultana at microsatellite loci and representing sampling sites across the UK. Cristatella mucedo data additionally covers Northern Ireland. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/9d63e68b-2499-40fb-b05b-4fa2a55399fc

This dataset contains the time, date and location of when songbirds fitted with a Passive Integrated Transponder (PIT tag) visited a bird feeder fitted with Radio Frequency Identification (RFID) technology. We tagged seven species (n = 348), with Blue tits and Great tits being the most abundantly caught. RFID bird feeders were set up in networks of 20 feeders each in urban gardens at three sites in Southern England. Full details about this dataset can be found at https://doi.org/10.5285/ebee8bd9-3e68-4f88-a400-7bf72db02714

This dataset contains information about water quality based on faecal indicators at eighteen lakes in each of three lake districts: - Greater Glasgow conurbation, Scotland - Cumbria, NW England - Norfolk, E England. Lakes were sampled once in each of three seasons (spring, summer and autumn) in either 2016 (Norfolk) or 2017 (Cumbria and Greater Glasgow) with faecal indicators being quantified at three discrete sampling stations in each lake (>50m apart) and at three points at each station (i.e. nine samples per lake per sampling date). Faecal indicators were quantified based on standard dilution, membrane filtration and incubation, followed by colony counting. The data were collected to investigate the fine scale connectivity between Faecal Indicator Organisms (FIO) densities within water bodies and diffuse and point source inputs from the adjacent catchment and from biological vectors. They also provide an indication of the relative sources of variation in reported concentrations that is relevant for environmental regulatory purposes. 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/10.5285/5f988cd4-479d-4e35-8835-42f80ebc1698