This service provides a view of Environmental Change Network (ECN) site locations from which data are collected. There are 12 terrestrial sites and 45 freshwater sites. Sites range from upland to lowland, moor land to chalk grassland, small ponds and streams to large rivers and lakes. ECN is the UK's long-term environmental monitoring programme. A wide range of integrated physical, chemical and biological variables which drive and respond to environmental change are collated, quality controlled and made freely available for scientific research. The data form an important evidence base for UK environmental policy development. ECN is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.

Bat species data from the UK Environmental Change Network (ECN) terrestrial sites. The count of individual species is recorded. These data are collected while walking a defined transect using a bat detector at ECN's terrestrial sites using a standard protocol. They represent continuous records (the transects are walked four times each year) from 1993 to 2015. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage. Full details about this dataset can be found at https://doi.org/10.5285/2588ee91-6cbd-4888-86fc-81858d1bf085

Data are presented from an ozone exposure experiment performed on five African crops. The crops (Beans, cowpea, finger millet, pearl millet and wheat) were exposed to three different levels of ozone in the UK CEH Bangor solardomes. Wheat was grown at UK ambient temperature, whereas the solardomes were heated for the other crops to better mimic tropical conditions. The experiment ran from May 2017 to September 2017. The crop plants were grown from seed in pots in solardomes. The aim of the experiment was to investigate the impact of ozone exposure on the crop yield and plant health. The dataset comprises of manually collected data on plant physiology, biomass and yield. In addition the automatically logged data of ozone concentration and meteorological variables in the solardomes are presented. Plant physiology data is stomatal conductance of individual leaves, measured on an ad-hoc basis. The dataset includes the associated data measured by the equipment (relative humidity, leaf temperature, photosynthetically active radiation). Soil moisture of the pots was always measured at the same time, and chlorophyll content of the measured leaf was usually, but not always, determined at the same time. Yield was determined for each plant, in addition to yield-related metrics including mass per bean and 100 grain weight. For finger millet and pearl millet yield is expressed as weight of seed heads and number of seed heads, rather than explicitly as seed weight. The ozone and meteorological dataset is complete, but with some gap-filling for short periods when the computer was not logging data. The work was carried out as part of the NERC funded SUNRISE project (NE/R000131/1). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/f38beff1-993f-4785-8a97-1de21e3e19c0

Estimates of annual loads of phosphorus, sediment, nitrogen and faecal coliform from non-agricultural sources to rivers in Scotland, reported at Water Framework Directive (WFD) catchment scale. The sources of pollutants include: urban, woodland, montane areas, river bank erosion, septic tanks and sewage treatment works. Loads are estimated based upon available data (e.g. septic tank licences) and modelling (bank erosion). The values specify phosphorous, nitrogen or sediment losses in kilograms per year and faecal coliform in 10^6 colony forming units (cfu) per year. Full details about this dataset can be found at https://doi.org/10.5285/eb73ca31-7eb9-479c-96be-6063e29c8a7f

This dataset contains palaeolimnological data from sediment cores taken from five Arctic lakes. Two lakes located in Alaska were cored in July 2013, one lake located in Greenland was cored in April 2013, and two lakes located in Norway were cored in March 2014. The data includes macrofossil, chironomids and Cladocera analysis at 2 cm resolution; and loss on ignition, diatoms, biogenic silica, nitrogen and carbon isotopes, algal photosynthetic pigments and pollen analyses at 1 cm resolution. All cores were subject to X-Ray Fluorescence scanning analysis at 200 or 400 micrometer resolution before subsampling. The data were collected as part of the Lakes and Arctic Carbon project, funded under NERC's Arctic Research Programme. Full details about this dataset can be found at https://doi.org/10.5285/e48aa7ca-e8af-482a-bebd-45291de9584f

The data comprise water quality measurements taken from streams and rivers in the Conwy catchment and its estuary from March 2013 to October 2016. Depending on water type and sampling location the data consist of concentrations of major cations and anions, pH, conductivity, alkalinity, suspended material and coliforms. Samples were collected manually or by automatic sampler. Analysis was carried out at the Centre for Ecology & Hydrology (CEH) Bangor, CEH Lancaster and Bangor University laboratories. The data were collected provide information on the relationship between stream water quality, primarily macronutrient concentrations, and catchment and hydrological characteristics. The data are used to drive a catchment scale water quality model, and to investigate nutrient ratios and limitation with respect to land cover and management. All sampling and analysis was carried out by trained members of staff from the Centre for Ecology & Hydrology and Bangor University. This data was assembled under the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (Turf2Surf). Full details about this dataset can be found at https://doi.org/10.5285/32392c33-8cbe-434a-a582-ab8425a5062c

This dataset describes 35 years of 6-monthly population sampling of adult and juvenile bank voles Myodes glareolus and wood mice Apodemus sylvaticus in a Derbyshire Ash Fraxinus excelsior woodland, together with annual and seasonal ash fruit-fall and a measure of winter severity. Additional data describe a 4 year experiment on a nearby study area where in two winters supplementary ash fruit were supplied and population data collected in parallel to the main study area. Woodland small mammal population dynamics are commonly influenced by variable food supplies (due to masting), climate and population density. However, the effects of precise environmental variables are poorly understood. To explain between-year variations in bank vole and wood mouse reproductive/population growth rates, we applied a state-space model to 33 years of live-trapping data. Experimental additions of ash fruit in winter aided interpretation. Full details about this dataset can be found at https://doi.org/10.5285/80ee4e00-7301-4c40-9dba-12dd0d21b7c7

The dataset contains dissolved greenhouse gas and water chemistry data collected across 12 axial surveys of the Tay estuary, Scotland, starting in April 2009 and ending in July 2011. Ten fixed sampling points on the estuary were surveyed on each boat based campaign. Data were obtained either via direct, field-based measurements, or via subsequent sample processing and analysis in laboratories at UKCEH Edinburgh. Full details about this dataset can be found at https://doi.org/10.5285/ec78b74e-631d-4bef-8c28-618b4dc0fffd

This dataset contains files of isothermal crystallisation of polylactic acid (PLA). The data was collected using a Fourier Transform Infrared (FTIR) spectrometer, with the temperature range spanning from 80 to 150 °C. Full details about this dataset can be found at https://doi.org/10.5285/4a568f41-ab14-475c-b13e-3499277fef79

The data are from bioassay experiments from 25 river sites across Great Britain to investigate the growth response of river phytoplankton to different inorganic and organic nutrient additions and compare that to in situ nutrient concentrations. The data includes calculated growth responses to inorganic and organic nutrient additions, based on experimental incubations and background nutrient data collected from sites at the same time as water for the experimental incubations. Full details about this dataset can be found at https://doi.org/10.5285/3ca94e73-57dc-4fcd-afe2-82a4e491970a