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

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 data set represents the model results plotted in the figures in Bett et al. (2020). Data portrays Amundsen Sea freshwater fluxes and freshwater passive tracer results, along with the results on the effect of grounded icebergs and iceberg melt on sea ice and oceanic heat content. These results are derived from Amundsen Sea regional model simulations over the period 1979-2018, with the first 10 years regarded as model spin up. For full descriptions of the results plotted in each figure see Bett et al. (2020).

This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Blelham Tarn, a lake in the North West of England. The lake temperatures are measured in various depths of the lake (see supporting documentation). Measurements were taken every 4 minutes and calculated as hourly averages. The data were collected by the Centre for Ecology & Hydrology between 2008 and 2011 inclusive. This dataset has been used in various publications, please see supporting documentation for more detail. Full details about this dataset can be found at https://doi.org/10.5285/38f382d6-e39e-4e6d-9951-1f5aa04a1a8c

This dataset consists of phyto- and zooplankton counts, chlorophyll concentration and fish catch data from the Cumbrian Lakes (Blelham Tarn, Esthwaite Water, Windermere north and south basins). The data span the years 1940 to 2013 but time series vary in length among different species and sites, and fish data are only available from Windermere. The original data were initially collected by the Freshwater Biological Association (FBA) but have been collected by CEH and its predecessor Institute of Freshwater Ecology (IFE) since 1989. Full details about this dataset can be found at https://doi.org/10.5285/1de49dab-c36e-4700-8b15-93a639ae4d55

This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Blelham Tarn, a lake in the North West of England. The lake temperatures are measured in various depths of the lake (see supporting documentation). Measurements were taken every 4 minutes and calculated as hourly averages. The data were collected by the Centre for Ecology & Hydrology between 2012 and 2015 inclusive. This dataset has been used in various publications, please see supporting documentation for more detail. Full details about this dataset can be found at https://doi.org/10.5285/8eab30af-25b4-4ac2-a470-411df9749464

This dataset contains information about hourly temperature variation, phenotypic and genetic change, and change in environmental parameters in a two-year mesocosm study designed to tease apart the impact that phenotypic plasticity and genetic diversity have on rate of adaptation to experimental heatwaves. All data were collected between 2017 and 2019. Thermal data was collected continuously using data loggers. The frequency of natural heatwaves was manipulated using a programmable aquatic mesocosm facility using data collected from real heatwaves from 2006. Phenotypic evolution was tracked using intermittent common garden life-history studies while changes in clone frequency were determined using microsatellite markers to track changes in clone frequency in manipulated populations over two years. Experimental data on zooplankton community dynamics were monitored using intermittent depth integrated sampling of communities in each mesocosm over two years. The work was supported by the Natural Environment Research Council (Grant NE/N016017/1). Full details about this dataset can be found at https://doi.org/10.5285/2ae5e8d3-be36-4517-b80c-c6b91792b769

This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Bassenthwaite Lake, a lake in the North West of England. The lake temperatures are measured in various depths of the lake (see supporting documentation). Measurements were taken every 4 minutes and calculated as hourly averages. The data were collected by the Centre for Ecology & Hydrology between 2012 and 2015 inclusive. This dataset has been used in various publications, please see supporting documentation for more detail. Full details about this dataset can be found at https://doi.org/10.5285/b21e5542-95d3-454e-a2dd-9e6c1966f982

This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Esthwaite Water, a lake in the North West of England. The lake temperatures are measured in various depths of the lake (see supporting documentation). Measurements were taken every 4 minutes and calculated as hourly averages. The data were collected by the Centre for Ecology & Hydrology between 2008 and 2011 inclusive. This dataset has been used in various publications, please see supporting documentation for more detail. Full details about this dataset can be found at https://doi.org/10.5285/94abcb39-84a6-428e-a90f-156452197d79

The dataset is the lake polygons from the UK Lakes Portal (https://eip.ceh.ac.uk/apps/lakes/), originally based on OS PANORAMA but this dataset includes data from a number of sources. It has a basic set of attributes including the water body ID (WBID) as well as the computed area and perimeter of each lake. The WBID is commonly used across research institutions and is the same ID as used on the UK Lakes Portal, where more information can be found on each lake in this dataset. This is v3.6, which follows the same versioning as the underlying database. Although the database has seen the majority of the changes since version 1, the polygons have also been changed and improved over that time, mostly fixing issues with lake outlines, but also some new sites being added. Full details about this dataset can be found at https://doi.org/10.5285/b6b92ce3-dcd7-4f0b-8e43-e937ddf1d4eb