This marine geophysical survey took place in September 2001 in the Humber area on board the Humber Surveyor. The survey was carried out by the British Geological Survey (BGS) for the Environment Agency, Yorkshire Region, to supply additional data to the Humber Estuary Shoreline Management Plan Phase II. The geophysical techniques employed were high resolution seismic profiling using a surface tow boomer, sidescan sonar and echo sounder. Most of the data were recorded digitally, but paper records were generated also. The data are archived by BGS. Technical details of the survey are contained in BGS Internal Report CR/01/241.

Data relating to project specific sites of investigation into fluid processes in landfills and mine sites.

Reports detailing investigations into mine water discharges and potential effects on aquifers in the East Midlands Coalfield and in the Lake District.

This data file contains processed data derived from the Environment Agency's Ecology and Fish Explorer Macroinvertebrate database. The recorded data is the abundance of freshwater macroinvertebrates taken by the Environment Agency (EA). The data were collected from sites throughout England, between 2002-2019, from March to May, and September to November. Samples were collected using three-minute kick-samples, whereby a net is used to catch invertebrates and debris flowing downstream of an area in a river which is disturbed by a recorder for three minutes. Data before 2002 were excluded as abundance of macroinvertebrates was not recorded widely before this year. The data were originally collected for the purpose of understanding water quality by the Environment Agency. The original EA data contains raw counts of mixed-taxonomic groupings of invertebrates and some diatoms and other taxa, from rivers in England with multiple sampling methodologies. Here, the derived data has been processed in such a way to combine counts at a single taxonomic level (family) containing only taxonomic groups of interest for the research, and the data are limited to one sampling method. Full details about this dataset can be found at https://doi.org/10.5285/f6b9b2b3-1ad0-4ac1-a19b-bb340427fbf1

This data set comprises of hourly water quality monitoring and flow data of a site within the River Loddon catchment, UK, from September 2017 to September 2018. Parameters measured were temperature, conductivity, pH, ammonium, turbidity, dissolved oxygen, UV-Vis spectral scan from 197-720nm. Daily samples were also taken at 9am GMT and occasional storm samples were taken hourly and then analysed in the laboratory for pH, conductivity, turbidity, total suspended solids, non-purgeable organic carbon, UV-Vis spectral scan from 200-800nm and 12 pesticide concentrations: 2-4-D, Bentazone, Carbendazim, Carbetamide, Chlorotoluron, Clopyralid, MCPA, Mecoprop, Metaldehyde, Propyzamide, Quinmerac and Metazachlor. This data was created as part of the TWENTY65 project, funded by the Engineering and Physical Sciences Research Council (Grant number: EP/N010124/1) and with some additional funding from Affinity Water and Syngenta. Full details about this dataset can be found at https://doi.org/10.5285/331659d7-da72-48a2-9b52-63c003557990

The UK saltmarsh database of carbon and GHG (greenhouse gas) fluxes was compiled from a systematic literature review conducted using the Web of Science on 11/12/2023 and searches on UK Government organisations and non-government agency websites on 29/02/2024. A total of 8,974 papers were reviewed for carbon accumulation and stocks, GHG fluxes (CO2, CH4 and N2O) and other relevant environment data in natural and restored (i.e. rewetted by managed coastal realignment) saltmarsh habitats applicable to the UK, for incorporation into the database for the potential use in GHG inventory reporting and carbon accounting. Full details about this dataset can be found at https://doi.org/10.5285/a114e2de-bbed-45d2-9af1-372edb4b5025

This dataset provides a coherent, quality-controlled collection of 15-minute river flow observations from across the United Kingdom. It brings together more than 1,300 gauging stations and over 50,000 station-years of data collected by the main UK measuring authorities - the Environment Agency (England), Scottish Environment Protection Agency, Natural Resources Wales, the Department for Infrastructure (Northern Ireland), and the UK Centre for Ecology & Hydrology. The records span from 1948 to the present day and represent the first national-scale compilation of sub-daily flow data in a consistent format. The dataset was created by assembling raw hydrometric records from open APIs and data requests to measuring authorities, then standardising them to a uniform 15-minute time step. A structured quality control framework was applied to identify and flag potential issues such as missing or duplicated values, irregular time steps, and implausible flow events. Each record includes a detailed quality code indicating the outcome of these checks, and a suite of accompanying metadata files provides full traceability of data provenance, quality control results, and any adjustments made during processing. The resource is designed to support large-sample and national-scale hydrological research, particularly for applications requiring high-resolution data such as flood analysis, catchment response studies, and model calibration. Full details about this dataset can be found at https://doi.org/10.5285/211710ac-f01b-4b52-807f-373babb1c368

This dataset contains a time series of species-specific fish abundances and covariates for 1180 fish sites in English rivers. Sites with at least ten annual fish surveys in the Environment Agency’s (EA) National Fish Population Database (NFPD) between 1975 and 2017 inclusive were selected. Covariate data include habitat quality indicators (River Habitat Survey and HABSCORE outputs), climatic variables (Gulf Stream and North Atlantic Oscillation indices), land-use change, river hydrology, water temperature, effluent dilution factor and concentrations of chemical determinands. The work was supported by the Natural Environment Research Council (Grant NE/S000100/2). Full details about this dataset can be found at https://doi.org/10.5285/b0afb78e-a0cb-4762-9220-659211ae3a5e

The UK Climate Projections (UKCP09) probabilistic climate projections of climate change over land. These data consist of various meteorological parameters such as temperature, precipitation, surface pressure, humidity. The projections of future absolute climate that assign a probability level to different climate possibilities, the absolute values, percentage change relative to the observed climate (1961-1990) and percentiles of the parameter projections are provided over 30 year time periods over the projection period 2010-2099. The averaging periods provided are: 2010-2039, 2020-2049, 2030-2059, 2040-2069, 2050-2079, 2060-2089, 2070-2099. Data are provided over three aggregated areas, (1) a 25km grid over the UK, (2) administrative regions that are areas of the UK based on administrative boundaries and (3) river basins that are based on a division of the UK land area based on the Water Framework Directive River Basin Districts. In 2009 the first version of the UK probabilistic projections of climate change over land were provided. In 2013 an update was made to some of the files (version 2). Both versions of this data are made available here with the version 2 data being the most recent. These projections provides an absolute value for the future climate (as opposed to giving values that are relative to a baseline period). A probabilistic climate projection is a measure of strength of evidence in different future climate change outcomes. This measure is dependent on the method used, is based on the current available evidence and encapsulates some, but not all, of the uncertainty associated with projecting future climate. The climate projections report contains further details.

The UK Climate Projections 2009 (UKCP09) projections of temperature from low, medium and high emissions scenarios' equivalent global temperature changes. They are probabilistic climate predictions based on families of runs of the Met Office Hadley Centre climate models HadCM3, HadRM3 and HadSM3, plus climate models from other climate centres contributing to IPCC AR4 and CMIP3. The equivalent changes in global temperatures are taken from three emissions scenarios: low (IPCC SRES: B1), medium (IPCC SRES: A1B), and high (IPCC SRES: A1FI). Each scenario provides estimates over seven 30 year period averages: 2010-2039, 2030s = 2020-2049, 2040s = 2030-2059, 2050s = 2040-2069, 2060s = 2050-2079, 2070s = 2060-2089, 2080s = 2070-2099. Temperature changes are given relative to 1961-1990.