This dataset comprises operational data for a novel decentralised drinking water treatment platform (DWTP) and water quality data for three sampling points within the treatment system. The dataset captures a period of 12 weeks between November 2019 and February 2020. The DWTP was continuously operational throughout this time period with samples from across the system being collected at nine timepoints throughout this three-month period. Operational data from the remote telemetry unit on the DWTP reports flow rate through the system, transmembrane pressure for the ultrafiltration and both the oxidation-reduction potential (ORP) and the free chlorine of the treated water. Data is also provided for a suite of biological, physicochemical, chemical, metals, hydrocarbons and disinfection byproducts. This data was produced from water samples which were sent to an accredited UK laboratory. The data reports for all samples for each of the 3 sampling locations within the treatment system are summarised into .csv files. Information about the location of each sampling point and the level of treatment received at each point can be found in the supporting documentation. Full details about this dataset can be found at https://doi.org/10.5285/98148025-e8ef-40f9-907e-dae8b28106d2

The data describe a set of field surveys to assess conditions along public walking routes. A spectrum of urban forms was identified in the towns of Bedford, Luton and Milton Keynes, in the UK. A sample of these were surveyed on foot to measure biodiversity and environmental conditions during the day. These were supplemented with landscape-scale remotely sensed data characterising the surrounding landscape. Full details about this dataset can be found at https://doi.org/10.5285/65b23264-2991-4ce2-83e7-7729a3947d75

[THIS DATASET HAS BEEN WITHDRAWN]. Woodland vegetation data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected at all of ECN's terrestrial sites using a standard protocol (see Supporting documentation). This survey is conducted when plots surveyed during the coarse-grain survey fall in woodland. Seedlings, diameter at breast height (dbh), height and species dominance are recorded within a surrounding 10m x 10m plot. 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/edfe7080-b9d4-4792-82ef-228ac670211a

Net ecosystem exchange and methane fluxes were measured from a hemi-boreal ombrotrophic fen in Southern Sweden. An automated chamber system, SkyLine2D, was used to measure the fluxes near-continuously from August 2017 to September 2019. Four ecotypes were identified: sphagnum (Sphagnum spp), eriophorum, heather and water, to assess how these different ecotypes would respond to drought. The 2018 drought allowed comparison of fluxes between drought and non-drought years (May to September), and their recovery the following year. Full details about this dataset can be found at https://doi.org/10.5285/d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f

This dataset includes time-series of pre-dawn and mid-day leaf water potentials for 10 tree species. The time-series covers one year with leaf water potentials measured every three months. These data when combined with hydraulic conductance vulnerability curves (also measured during this project) are an indicator of a tree's safe operating space under dry and high vapour pressure deficit conditions. The overall purpose of the measurements made by this project is to determine eco-physiological limits of functioning of tropical trees in Western Ghats India and to relate them to continuously measured temperature and water status of tropical forest trees at a representative forest site (Sirsi). Full details about this dataset can be found at https://doi.org/10.5285/252b6a14-8a0e-4a6f-a879-99dff46fec71

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains soil hydraulic measurement data from the Climoor field site in the Clocaenog forest, in North Wales. The collection contains five data sets. 1) soil bulk density (0-5 centimetre) and saturated water content. 2) Unsaturated hydraulic conductivity measured in the field at tensions of -2 and -6 centimetre using a mini disk infiltrometer. 3) Unsaturated hydraulic conductivity measured using a HYPROP (registered trademark) instrument, an instrument which determines the hydraulic properties of soil samples, on soil cores taken from the field plots. 4) Soil water release curves for wet soil corresponding to the hydraulic conductivity measurements made using a HYPROP in the laboratory on cores from the field. 5) Soil water release curve data for dry soil measured using a WP4 potentiometer. The dataset has been quality checked, and incorrect or missing values removed, data has not been infilled and not available (NA's) have been added where there is no data. Data was collected between the end of 2010 and early 2012. Data sets 1, 3 and 4 were collected in April and September, 2011, data set 2 in May, 2012 and data set 5 in November, 2010. The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data were collected to monitor site specific soil properties at a specific reference time. Full details about this dataset can be found at https://doi.org/10.5285/ae7a60ac-b72d-41f5-a42c-c648769cd403

Fine Grain Vegetation data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected at all of ECN's terrestrial sites using a standard protocol (see supporting documentation). In this protocol, 10m x 10m plots are randomly selected within each vegetation type on the site - species presence is recorded in 40cm x 40 cm cells randomly selected within these plots. They represent continuous records every three years (some sites record data annually) from 1994 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/b98efec8-6de0-4e0c-85dc-fe4cdf01f086

[THIS DATASET HAS BEEN WITHDRAWN]. 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 2012. 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/cfdb346f-6cde-4fba-9044-96e202398435

The dataset consists of plant species data from a range of upland vegetation types. The study sites are situated within the Moor House National Nature Reserve in the North Pennines, UK. The area is grazed by free-ranging sheep and paired plots of grazed and ungrazed vegetation were set up at nine locations between 1953 and 1972. These plots have been monitored using the same (pin frame) methods at irregular intervals between their establishment and 2016. Within each plot fixed transect and frame positions are used. The data includes structural and frequency data for vascular plants and presence/absence data for bryophytes and lichens. The plots were set up and are currently maintained by Natural England (NE) and its predecessor bodies and since 1982 they have been monitored by the Environmental Change Network (ECN) through the UK Centre for Ecology and Hydrology (UKCEH). Full details about this dataset can be found at https://doi.org/10.5285/c72ab043-1b02-42c9-94e8-c1cae42b3dc8

Water quality data produced from rainfall, throughfall and stemflow samples collected within a beech stand at Black Wood in Hampshire, and an ash stand at Old Pond Close in Northamptonshire. Two studies were carried out in the early 1990s to examine water quality in relation to hydrological and pollution changes. Chemical analysis involved a combination of electrometric (pH), inductively-coupled plasma emission spectroscopy (most major, minor and trace elements), atomic absorption spectroscopy (potassium), ion chromatography (major anions and fluorine) and colourimetry (ammonium and silicon).