This dataset collection holds high-resolution datasets related to in-land water for limnology (study of in-land waters) and remote sensing applications. These were produced by the Department of Meteorology at the University of Reading. Information on distance-to-land for each water cell and the distance-to-water for each land cell has many potential applications in remote sensing, where the applicability of geophysical retrieval algorithms may be affected by the presence of water or land within a satellite field of view (image pixel). The data was recorded over a 5 year period from 2005-2010 on a global scale. It is expected that new and updated datasets will be added in the future.

This dataset consists of spatially explicit (1 km gridded) metrics of climate change “exposure” (i.e. an index of the amount of expected change in a location) derived from quantifying the difference in observed historical and predicted future climatic conditions. Four comparisons are included between five discrete time periods: 1901–1930 v. 1961–1990; 1961–1990 v. 2010–2019; 2010–2019 v. 2021–2040; and 2021–2040 v. 2061–2080. Full details about this dataset can be found at https://doi.org/10.5285/d370cda8-7d3d-4b62-8d09-23711aa18ac2

The data deposited here underlie an assessment of the exposure of UK habitats to climate change, and a linked assessment of how well current UK plant monitoring schemes cover these exposure gradients (see Wilson & Pescott, 2023 in press). The current dataset consists of spatially explicit (1 km gridded) classifications of predicted Köppen-Geiger climate types (Peel et al., 2007), based on both past (observed) and future (modelled) climate data. Full details about this dataset can be found at https://doi.org/10.5285/4aed4496-f9e2-494d-a0f9-adc297f033a4

This dataset consists of 4,397 insect species associated with 679 native plant species, 120 archaeophytes, and 234 neophytes from the Database of Insects and their Food Plants (DBIF). The DBIF details approximately 60,000 interactions between phytophagous insect (and mite) species and plants recorded in Great Britain over the last century, based on a wide variety of sources, including entomological journals and field guides. The data here represents a reduced subset of the full DBIF (13,277 interactions), only including interactions resolved to the species level (insect species x associated with host plant species y), records that have been expertly verified as reliable and included in previous large-scale analyses (Ward 1988; Ward & Spalding 1993; Ward et al. 1995; Ward et al. 2003), and records that are certain to have occurred in Great Britain. Any records originating from captive breeding studies are excluded. Finally, only plants with associated phylogenetic data and native status are included. Host plant distribution size is also included, in addition to a quantification of the distinctiveness of the insect communities found on a subset of the non-native plants. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/33a825f3-27cb-4b39-b59c-0f8182e8e2e4

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset consists of 4,397 insect species associated with 679 native plant species, 120 archaeophytes, and 223 neophytes from the Database of Insects and their Food Plants (DBIF). The DBIF details approximately 60,000 interactions between phytophagous insect (and mite) species and plants recorded in Great Britain over the last century, based on a wide variety of sources, including entomological journals and field guides. The data here represents a reduced subset of the full DBIF (13,277 interactions), only including interactions resolved to the species level (insect species x associated with host plant species y), records that have been expertly verified as reliable and included in previous large-scale analyses (Ward 1988; Ward & Spalding 1993; Ward et al. 1995; Ward et al. 2003), and records that are certain to have occurred in Great Britain. Any records originating from captive breeding studies are excluded. Finally, only plants with associated phylogenetic data and native status are included. Host plant distribution size is also included, in addition to a quantification of the distinctiveness of the insect communities found on a subset of the non-native plants. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/cc6b5e83-a1f4-40d6-bbbb-64366b002418

These data are high-resolution datasets related to in-land water for limnology (study of in-land waters) and remote sensing applications. This includes: distance-to-land, distance-to-water, water-body identifier and lake-centre co-ordinates on a high-resolution (1/360x1/360 degree) grid, produced by the Department of Meteorology at the University of Reading. Data was derived using the ESA CCI Land Cover Map (see linked documentation). Datasets containing information to locate and identify water bodies have been generated from high-resolution (1/360x1/360 degree, about 300mx300m) data locating static-water-bodies recently released by the Land Cover Climate Change Initiative (LC CCI) of the European Space Agency. The new datasets provide: distance to land, distance to water, water body identifiers and lake centre locations. The lake identifiers (IDs) are from the Global Lakes and Wetlands Database (GLWD), and lake centres are defined for in-land waters for which GLWD IDs were determined. The new datasets therefore link recent lake/reservoir/wetlands extent to the GLWD, together with a set of coordinates which locates unambiguously the water bodies in the database. The LC CCI water bodies dataset has been obtained from multi-temporal metrics based on time series of the backscattered intensity recorded by ASAR (Advanced Synthetic Aperture Radar) on Envisat between 2005 and 2010. Temporal change in water body extent is common. Future versions of the LC CCI dataset are planned to represent temporal variation, and this will permit these derived datasets to be updated. The paper associated with this dataset is: L.Carrea O. Embury C.J. Merchant "High-resolution datasets related to in-land water for limnology and remote sensing applications: distance-to-land, distance-to-water, water-body identifier and lake-centre co-ordinates" Geoscience Data Journal, vol. 2 issue 2, pp. 83-97, November 2015. DOI: 10.1002/gdj3.32

Motion activated camera traps were installed in pine woodland and regenerating heathland from 2010 as part of UK Environmental Change Network long-term monitoring in the Allt a'Mharcaidh catchment, Cairngorms National Park, Scotland. The image catalogue contains 8050 wildlife images identified to species or group where possible. This forms part of the accompanying dataset which includes information on over 66,000 classified images, recording the presence of blank (empty) images, wildlife, people, dogs and mountain bikes. Furthermore it includes group identification where a series of images occur within five minutes of each other. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/b0c13df5-f606-4bf2-9397-a9c51a7e8d93