The dataset contains information of Diameter at Breast Height (DBH) of 8,729 trees. These trees are distributed in 29 RAINFOR network forest plots across the Brazilian Amazon, comprising the states of Acre, Mato Grosso and Pará. All the plot censuses are located in terra-firme non-flooded lowland forests. The measurements were collected between 2017 and 2019. The Amazon Forest Inventory Network is a long-term, international collaboration to understand the dynamics of Amazon ecosystems. Since 2000 they have developed a framework for systematic monitoring of forests from the ground-up, centred on plots that track the fate of trees and species, and includes soil and plant biogeochemical records, as well as intensive monitoring of carbon cycle processes at some sites. RAINFOR works with partners across the nations of Amazonia to support and sustain forest monitoring and help develop new generations of Amazon ecologists. The work of RAINFOR is currently supported by funding agencies in Brazil, the UK, and the EU. Full details about this dataset can be found at https://doi.org/10.5285/63d4b774-4e03-4db2-95ad-dcca18f0d681

This product consists of maps of predicted annual application rates (kg/km2/yr) of three different inorganic chemical fertilisers - nitrogen (N), phosphorus (P) and potassium (K) - in England across a seven-year period (2015-2021). Annual estimates, along with their respective estimates of uncertainty, are provided at a 1 km x 1 km resolution with a separate map provided for each fertiliser. This product builds on the previous CEH Land Cover plus: Fertilisers 2010-2015 (England) product, providing maps for more recent years and increasing the temporal resolution to provide a map per year instead of an average across years. Full details about this dataset can be found at https://doi.org/10.5285/0fdfd1c8-eb14-4eef-9cc5-eeb00e1fcafa

This dataset contains total nitrogen (N) deposition at a 1km x 1km resolution in the UK, annually from 1990 to 2017. N deposition is presented as reduced N (NHx) and oxidised N (NOy), both of which are split into wet and dry portions. Values are given for forest and moorland land cover, as well as a weighted mean to each grid cell (‘grid average’). Full details about this dataset can be found at https://doi.org/10.5285/9b203324-6b37-4e91-b028-e073b197fb9f

This dataset consists of a 1km resolution raster version of the Land Cover Map 2000 for Northern Ireland. The raster consists of 10 bands. Within each band, each 1km pixel represents a percentage cover value for one of 10 aggregate classes. The aggregate classes are aggregations of the target (or 'sub') classes, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2000. LCM2000 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. LCM2000 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2000 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2000 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. Note that the Band numberings in the dataset run from 1-11 rather than 0-10 and therefore each band relates to the one below it in the subclass code list. Full details about this dataset can be found at https://doi.org/10.5285/bff95455-9f28-48e5-a8d1-340fb79f9719

This dataset contains samples and occurrences of insects and flowers collected for the 1 km square survey of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2020 (note that 2017 was a pilot year and has less data than subsequent years). This is version 2 of the dataset; the previous version contained some incorrect values for the summed totals of counted insect specimens, which have been corrected in this version. This survey uses pan-traps positioned on transects within a randomly allocated set of 1 km squares in England, Scotland and Wales. The sample data contains information on the location of the traps, various environmental variables, and the total number of insect specimens collected. The occurrence data for insects contains records of all hoverflies and bees from the traps, identified (wherever possible) to species level. The occurrence data for flowers contains records of all forbs that are in flower within 2 metres of each pan-tap station. (In addition, Flower-Insect Timed Counts are carried out in the same 1 km squares, see separate dataset for these data.) The UK Pollinator Monitoring Scheme is a partnership between the UK Centre for Ecology & Hydrology, Bumblebee Conservation Trust, Butterfly Conservation, British Trust for Ornithology, Hymettus, Natural History Museum, University of Reading and University of Leeds, working with the Bees, Wasps and Ants Recording Society, wider stakeholders and volunteer networks. PoMS in 2017-2020 has been jointly funded by Defra, the Welsh and Scottish Governments, JNCC and project partners. Full details about this dataset can be found at https://doi.org/10.5285/2c43ba3c-d821-442c-989b-754451d72091

This is a web map service (WMS) for the Land Cover Map 2024 at 1 kilometre resolution The target data comprise 21 UKCEH land cover classes based upon Biodiversity Action Plan broad habitats. The aggregate data ,groups some of the more specialised target classes into more general classes and comprises 10 classes. For example, the five coastal classes in the target class are grouped into a single aggregate class.

Data comprise soil microbial and biogeochemical data collected during a snow manipulation experiment on the summit of Hohe Mut (2650 m) near Obergurgl, in the Austrian Alps (lat. 46.84862, long. 11.02957). Soil microbial data include phospholipid fatty acid (PLFA) analyses, and bacterial (16S Small subunit ribosomal RNA) and fungal (internal transcribed spacer region 2) high throughput sequences. Soil biogeochemical data include soil extracellular enzyme activities, soil pH, gravimetric moisture content and various C and N pools and fluxes. The experiment was part of the NERC project NE/N009452/1. Full details about this dataset can be found at https://doi.org/10.5285/255320dd-38ae-4a07-93bb-4f90439309f8

This dataset contains information about water conditions at Tatton Mere and Rostherne Mere, Cheshire over Summer 2022. Data was collected weekly as part of a study into the presence of algal blooms and the toxins they may produce. In situ testing recorded temperature, pH, oxygen and conductivity measures. Water samples were also collected and analysed in the laboratory for anion, cation and metal concentrations, chlorophyll-a concentrations and cyanobacteria identification and counts. The work was supported by the Natural Environment Research Council (Grant NE/X011607/1). Full details about this dataset can be found at https://doi.org/10.5285/3fcb8359-9ca3-4319-b680-e0286f59571a

[THIS DATASET HAS BEEN WITHDRAWN]. Gridded potential evapotranspiration calculated from HadUK-Grid gridded observed meteorological data at 1 km resolution over the United Kingdom for the years 1969-2023. This dataset contains two potential evapotranspiration variables: daily total potential evapotranspiration (PET; kg m-2 d-1) and daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1). The units kg m-2 d-1 are equivalent to mm d-1. The data are provided in gridded netCDF files. There is one file for each variable, for each calendar month. Full details about this dataset can be found at https://doi.org/10.5285/9b35c867-d706-4fe0-aba9-d42a52c313f2

This dataset consists of measures of topsoil (0-15 cm) physico-chemical properties from 575 soils sampled from 146 x 1 km squares across Great Britain collected in winter 2021 as part of the UKCEH Countryside Survey. The properties included are: pH, soil organic matter (loss on ignition, LOI), derived carbon concentration and carbon stock from LOI (SOC), soil group, soil bulk density of fine earth, soil moisture of wet soil, fine earth volumetric water content (dry), and nitrogen concentration and stock. The UKCEH Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, with repeated visits to most of the squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way, we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, vegetation species data are also gathered by the current phase of the UKCEH Countryside Survey. 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 and through the UKCEH National Capability for UK Challenges Programme NE/Y006208/1. Full details about this dataset can be found at https://doi.org/10.5285/38d6f5b4-4d03-4006-aa55-91894378ef27