Results of microbial water quality conducted in Kwale County, Kenya from 2015 to 2017 by University of Oxford and Universitat Politecnica de Catalunya as part of the Gro for GooD project (https://upgro.org/consortium/gro-for-good/). Water samples from 101 locations (including 31 open wells, 27 deep boreholes, 21 shallow boreholes with handpumps, 15 covered dug wells with handpumps, and 10 surface water sites. This data set contains results for microbial risk parameters including Escherichia coli, thermotolerant coliforms (TTCs) and tryptophan-like fluorescence (TLF). Most samples also have accompanying data on pH, conductivity, water temperature and turbidity. Duplicate and replicate samples are included and indicated by 'Dup' or 'Rep'. Duplicates samples were collected from the same water points within minutes of each other and laboratory replicates were different aliquots from a single sample. Risk classifications of E. coli and TTC data are based on the World Health Organisation's microbial water quality risk grading scheme. Manufacturer recommended sampling protocols were used. The sampled water points were in regular use and boreholes were flushed with either an electric pump or hand-pumping prior to sample collection. Samples from the open wells were drawn with buckets and rope, which were designated for each site and were rinsed prior to sampling to minimise secondary contamination. Daily field and laboratory blank samples were analysed to confirm no secondary contamination or cross-contamination between sites. For the tryptophan-like fluorescence (TLF) measurement, approximately three litres of unfiltered water were pumped or poured into a stainless-steel container (kept in a black box to prevent ambient light from interfering). The container was cleaned with ethanol and triple-rinsed with sample water prior to each measurement. Measurement was conducted for approximately 3 minutes and the median result was used. The probe and its sensor window were kept clean. Air bubble formation on the sensor window was avoided. For the bacteria sampling, sterile purpose-made bags were used for sample collection and immediately stored in a cooler box with ice-packs. They were transported and processed to begin incubation within two to five hours. Gro for GooD: Groundwater Risk Management for Growth and Development

The file contain groundwater level/depth (WL), Groundwater and Surface Water Quality data (EC (micro-siemens per centimetre or µS/cm), Temperature (°C) and pH) for 49 points under fortnightly monitoring relevant to Gro for GooD research project in Kwale County, Kenya. Blank - Data not available. Gro for GooD: Groundwater Risk Management for Growth and Development

The dataset consist of daily rainfall data for 22 manual rain gauge stations installed by Gro for GooD project within and about the study area. The installed stations covering four river catchments name Ramisi River, Mukurumudzi River, Mtawa River and Mwachema River in Kwale County. The dataset period is from January 2016 to September 2017. Gro for GooD: Groundwater Risk Management for Growth and Development

Ethiopia experienced severe drought in 2015-16. Many rural communities experienced declines in the performance of their water supply systems. As a result UNICEF commissioned a real-time monitoring and responsive operation and maintenance programme for point source rural water supplies across Central, Northern and Eastern Ethiopia. The water point monitoring survey was coordinated by UNICEF and conducted by World Vision Ethiopia and Oxfam Ethiopia. Data was collected between January and May 2016. Akvo Flow, a mobile survey tool, was used to collect data using questionnaires which were completed by enumerators and uploaded to central servers in near real time. The dataset includes data on functionality, access, usage and water quantity from 5196 rural water points. UNICEF provided the dataset to BGS. BGS reorganised, cleaned, and conducted quality control and analysis of the dataset. A companion paper has been published with more details of the methodology and results of the monitoring survey, https://doi.org/10.1038/s41467-020-14839-3

Laboratory results for the analysis of geochemical samples (stream sediments, soil and water) collected for the high resolution geochemical mapping of mainland Britain. The programme of regional geochemical sampling began in 1968 in the northern Highlands of Scotland. Sample sites are described on field slips. Chemical results are subjected to high level of quality control in the laboratory. Results are the raw data processed (standardisation and normalisation) to give seamless geochemical images and the value added G-BASE (Geochemical Baseline Survey of the Environment ) data in the BGS geochemistry database.

This deposit consists of a readme file, which describes the file 'simulationinput.in'. This is a simple text file that contains the information necessary to run any of the ab initio molecular dynamics computer simulations described in the paper that links to this deposit, using the CP2K software package. CP2K is open source. Paper in press: Mineral–water reactions in Earth’s mantle: predictions from Born theory and ab initio molecular dynamics, Fowler, S. J. and Sherman, D. M. and Brodholt, J. P. and Sherman, D. M. Geochimica et Cosmochimica Acta.

Data are distances (in cm) to water measured by an experimental near-infrared lidar sensor in six different setups (2017–9). Laboratory tests conducted at Imperial College London include quantifying the effect of (i) distance, (ii) sensor inclination, (iii) turbidity/clarity of the water, and (iv) ambient temperature on measurement bias. Outdoor tests at three locations in London interrogated the effect of varying water surface roughness on the measurements. A dataset of high-frequency measurements is also included, from which the effects of sample autocorrelation were interrogated.

Programme of research funded by the Natural Environment Research Council. URGENT aims to stimulate the regeneration of the urban environment through understanding and managing the interaction of natural and man-made processes. Projects throughout the UK first set up in 1997 and completed in 2005. It was supported by partners from British industry, local authorities and Government agencies. A total of 40 URGENT projects in four key areas - air, water, soil and ecology. The projects aim was to determine the magnitude of urban environmental problems and risks, to understand the underlying patterns and processes that affect them, and to produce effective strategies for control and managment which will be accessible to users both in the UK and abroad.

This dataset comprises river centrelines, digitised from OS 1:50,000 mapping. It consists of four components: rivers; canals; surface pipes (man-made channels for transporting water such as aqueducts and leats); and miscellaneous channels (including estuary and lake centre-lines and some underground channels). This dataset is a representation of the river network in Great Britain as a set of line segments, i.e. it does not comprise a geometric network.

This dataset contains geochemical data from springs, streams and monsoonal rainwater samples, collected from the Melamchi Valley catchment, Nepal, between 2022 and 2025. The data includes analysis of major ions, stable water isotopes and Sr, Li, Si and C isotopes to investigate chemical weathering along mountain flow paths. Filtered water samples were collected across the Melamchi Valley catchment, with springs grouped into sub-linear transects. Additional time series samples span 2023 to 2025 at bi/weekly sampling at 5 sites.