The dataset contains 5-day of water velocities at Durleigh Reservoir in Somerset, England. A Nortek Vector acoustic doppler velocimeter (ADV) was used to collect the dataset. The ADV was deployed between 20 August 2018 (15:00) and 24 August 2018 (09:15), located approximately 30 m north of the surface mixers in Durleigh reservoir. The surface mixers were operating when the ADV was deployed and were switched off between 07:17 on 22 August and 16:42 on 23 August 2018. Full details about this dataset can be found at https://doi.org/10.5285/fd3eb9f3-832e-4a16-b9db-fd6045242ecf

This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at a at a Miscanthus x. giganteus Greef et Deu (hereafter Miscanthus) plantation in Lincolnshire, UK. Turbulent flux densities were monitored using the micrometeorological eddy covariance (EC) technique between 4 July 2013 and 25 November 2017. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations. 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/10.5285/71e5b799-fc4d-4a44-8860-a5e358c807fd

The dataset contains the leaf area index (LAI) (m2/ m2 ) collected with the LAI-2200 C (plant canopy analyzer), that was computed with 5, 4 and 3 rings using the FV2200 software. Additionally, it has the x and y coordinates (m) of the points collected inside the plots and the time of collection (hour: min: sec). This research was collected in a field site approximately 80 km north of Manaus, in the state of Amazonas, Brasil. The campaigns were carried out in October 2017, March 2018, August 2018 and October 2018. Full details about this dataset can be found at https://doi.org/10.5285/6e70665f-b558-4949-b42a-49fbaec7e7cc

This dataset contains the dive times (dive start time and dive end time) and depths (maximum depth attained on a dive) of three species of auk from the Isle of May outside the seabird breeding season. Data were collected from 12 Atlantic puffin individuals (Fratercula arctica), 13 common guillemot (Uria aalge) and 13 razorbill (Alca torda). Atlantic puffin data were collected between 19th July 2008 to 3rd December 2008; common guillemot data from 20th July 2005 to 28th January 2006; razorbill data from 1st July 2008 to 24th January 2009. Full details about this dataset can be found at https://doi.org/10.5285/6ab0ee70-96f8-41e6-a3e3-6f4c31fa5372

This dataset consists of invertebrate abundance data and associated ecosystem measurements (Including leaf litter depth and mass, seedlings, soil moisture and nutrients, and rainfall) measured within an area of lowland, old growth dipterocarp rainforest in the Maliau Basin Conservation Area, Sabah, Malaysia between 2015 and 2016. Data were collected during a collaborative project which was included in the NERC Human-modified tropical forest (HMTF) programme. Full details about this dataset can be found at https://doi.org/10.5285/1e9993ae-add7-497a-b54b-745b0fc6a7ca

This dataset contains seven month monitoring of weather conditions at Durleigh Reservoir in Somerset, England, during 2018. A Delta T WS-GP1 weather station was installed approximately 4 m above the surface of the reservoir between 5 April and 5 October 2018. Full details about this dataset can be found at https://doi.org/10.5285/dcfa74ce-6d05-4717-978d-e7cdf9b2039e

This dataset presents plant percentage cover by species, average plant cover and species richness for sites along the foredune area of sites distributed between Cape Canaveral (Florida) and Tybee Island (Georgia), USA. Plant cover by species was sampled on three occasions using 0.5 x 0.5m quadrats distributed along 3 transects at up to 28 sites. Observations were conducted in February 2018, July 2018, and January 2019. The coastline was impacted by Hurricane Irma in October 2017 and the data were collected to look at plant composition in coastal foredunes undergoing recovery from the hurricane. The data were collected as part of NERC grant NE/R016593/1, Resilience of a coastal ecosystem following hurricane Irma. Full details about this dataset can be found at https://doi.org/10.5285/100af68f-78e2-4b9d-86b9-5777a5ef38fa

Data comprise radionuclide deposition, radioactivity dose measurements, radioactive particle activity and physical characteristic information from soil samples collected within and around the Chernobyl Exclusion Zone (CEZ) following the Chernobyl nuclear accident in 1986. Data include radiocaesium, radiostrontium and soil chemistry parameters from soils collected in 1997, plutonium isotope measurements in soil samples and soil layers collected in 2000 and 2001, 'Hot particle' dataset presenting radionuclide activity and some physical characteristics of 'hot particles' extracted from soils collected in the Ukraine and Poland between 1995 and 1997; and Ivankov region data (radionuclide activity concentrations and natural background dose measurements) from a survey of the Ivankov region, immediately to the south of the CEZ conducted in 2014. Funding for preparing this data set was provided by the EU COMET project (http://www.radioecology-exchange.org/content/comet) and TREE (http://www.ceh.ac.uk/tree) project funded by the NERC, Environment Agency and Radioactive Waste Management Ltd. under the RATE programme. Full details about this dataset can be found at https://doi.org/10.5285/782ec845-2135-4698-8881-b38823e533bf

The dataset contains light penetration through the water column at a Durleigh Reservoir in Somerset, England. HOBO Pendant Temperature/Light 8K Data Loggers (Onset) were positioned at 0.5 m, 1.5 m, and 2.5 m depths on a temperature chain Durleigh. The loggers were deployed between 30 May 2018 and 5 October 2018. Full details about this dataset can be found at https://doi.org/10.5285/fc1cf9a7-d7b0-4948-8328-497d6e071950

This dataset is part of Integrated Hydrometric Units (IHU) of the UK. Hydrometric Areas are used to organise river flow measurement and hydrometric data collection in the UK. Hydrometric Areas are either integral river catchments having one or more outlets to the sea or tidal estuary, or they may include several contiguous river catchments having topographical similarity but separate tidal outlets. In mainland Britain they are numbered from 1 to 97 in clockwise order around the coast commencing in north east Scotland. The larger islands and groups of islands are numbered from 100-108. Ireland has a unified numbering system from 1 to 40 commencing with the River Foyle catchment and circulating clockwise; not all Irish Hydrometric Areas, however, have an outlet to the coast. Only those Hydrometric Areas covering Great Britain and Northern Ireland are included in this dataset. The boundaries between hydrometric areas correspond to catchment boundaries as digitally-derived from CEH Integrated Hydrological Digital Terrain Model (IHDTM) using a catchment definition program. It should be noticed that the Northern Ireland data are clipped to its political boundary so not every Hydrometric Area in this region is completely represented. The naming and numbering convention for the hydrometric areas in Great Britain was originally defined by the Inland Water Survey Committee (and first published in the Surface Water Year-Book of Great Britain 1936-37). For Northern Ireland the system was developed by a multi-agency working group in the 1970s (and first published in Surface Water: United Kingdom 1971-73. Note that full citations of those two publications are provided as additional information source. This dataset represent the same entities as the IHU Hydrometric Areas of the UK without Coastline, however, the outer boundaries of the units follow coastline published by the Ordnance Survey (Meridian 2), rather than the boundaries of the CEH Integrated Hydrological Digital Terrain Model. Full details about this dataset can be found at https://doi.org/10.5285/1957166d-7523-44f4-b279-aa5314163237