Data comprise modelled flood extents for the Kampala district produced by simulating rainfall events over a 5m Digital Elevation Model (DEM) using a 2D finite-volume hydrodynamic model. The DEM was obtained from Makerere University and rainfall events were sampled across a range of depths and durations (for 20, 40, 60, 80 and 100 mm of rainfall over 1, 3 and 6 hours using flood depth thresholds of 0.1, 0.2 and 0.3 mm). The effects of infiltration were included within green areas based on spatial data obtained from Makerere University. Maximum depths were converted into extents using various thresholds. Full details about this dataset can be found at https://doi.org/10.5285/e53dea2e-cb25-4f0f-b5f9-937eecf15aff

This dataset contains responses to a set of evaluation questions on flood resilience improvement within communities in the Katakwi District, Uganda. This data were created as part of the NIMFRU project (National-Scale Impact Based Forecasting of Flood Risk in Uganda) and consists of 21 semi-structured interviews. These have been completed by community members from the project target communities of Anyangabella, Agule and Kaikamosing which are all found in the Katakwi district. Five of the interviews were completed by local district officers. The data were collected in December 2020. These data were collected to understand how communities resilience had changed as a result of the NIMFRU project. Full details about this dataset can be found at https://doi.org/10.5285/d5043ca4-5451-42f1-ae38-69e084bfad80

The dataset contains model output from the CityCAT hydrodynamic model showing maximum water depths in Jakarta, Indonesia, during the January/February 2007 flood. The hourly rainfall and hourly lateral inflow boundary conditions from rivers used to obtain the flooding depths are also included. Full details about this dataset can be found at https://doi.org/10.5285/8e58f0bb-3ff1-41e8-b8f4-380983ec68bc

This dataset provides stream networks for three river basins in eastern Sri Lanka (Mundeni Aru, Maduru Oya and Miyangolla Ela). The stream networks were developed for use in hydrologic modelling and are provided as shapefiles. The work was supported by the Natural Environment Research Council (Grant NE/S005838/1). Full details about this dataset can be found at https://doi.org/10.5285/0537af26-5cab-4381-aca0-d997db421111

This dataset contains mesocosm experimental data quantifying the ability of the bacterium Salmonella enterica Serovar Typhimurium (S. Typhimurium) to persist on microplastic beads in podzol and loamy soil. Persistence was determined through measuring surviving colony forming units (CFUs) of S. Typhimurium on the plastics after destructive sampling of the mesocosm jars. The results of a flooding and leachate experiment are also included, containing transfer potential and leachate gradients of S. Typhimurium in each soil under ambient, and flooding conditions. Water was added to soil columns containing the microbeads to simulate flooding, and the CFUs in the water and on virgin plastics were measured to determine transfer potential. In the persistence experiment samples were measured on days 1, 2, 3, 4, 7, 10, 14, 21, 28 and 35, and in the transfer and leachate experiments samples were measured after 7, 14 and 21 days, with four replicates being taken at each time point. This dataset was created as part of a study investigating how human pathogens enter agricultural environments via flooding or contaminated irrigation, and to determine the survivability of S. Typhimurium in these soils. This work is supported by the National Environmental Research Council (NE/V005847/1). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/0bfdfa23-15f8-4ffd-b1dc-e77178af0304

This dataset includes neutron probe data measured across the Pontbren study catchment in mid-Wales, UK. Neutron probe access tubes were installed at various locations across the site and measurements taken between 2006-2009 as part of the Pontbren Catchment Study Land Use and Management Multi-Scale Experimental Programme. To estimate profile volumetric soil moisture content (cm3 cm-3), measurements were taken every 10 cm down the soil profile to a maximum depth of 120 cm below the soil surface. Raw neutron probe count data (16 second sampling time) are provided along with shield count (1 x 64 second sampling time) and water count (average 5 x 64 second sampling time) data. These data are provided in .txt files and have columns indicating the site and plot name along with a time stamp. Depth of observation is shown in the column headings of the data. Due to access tubes becoming water logged it was sometimes not possible to carry out measurements at the lower depths of some of the access tubes. Details of the dataset, monitoring locations and how to convert neutron probe counts to volumetric moisture content are provided in the supporting documentation.

This dataset is from an automatic weather station (AWS) located at the Pontbren study site in mid-Wales, UK. The AWS was installed at the Bowl study site, an area of improved grassland, between 2006-2010 as part of the Pontbren Catchment Study Land Use and Management Multi-Scale Experimental Programme. The parameters measured by the AWS were; incident radiation, wind speed and direction, soil and air temperature, relative humidity and net radiation. All sensors are sampled every one minute and provided in the form of daily and ten-minute averages. Data are provided in the form of .txt files and generally split into six-month blocks. Associated with each data point in the .txt file is a quality assurance code, QA code, in the adjacent column. Details of the dataset and the quality assurance coding system (Appendix A) are provided in the supporting documentation. Other measurements taken at the Bowl include monitoring runoff from an improved grassland field in the form of overland and drain flow, soil water tension, soil volumetric moisture content, groundwater height and precipitation.

Data provided are monthly surface water layers extracted from Sentinel1A SAR data for 3 districts in India (Shivamogga, Sindhudurg, Wayanad) for the year 2017 and 2018. Surface water body layers were mapped using an average monthly threshold value extracted from the image backscatter histogram. The average threshold value excluded the monsoon months due to the difference in water and not water area. The threshold value was slightly lesser than the mean threshold value. The end product was validated using field data which resulted in user and producer accuracies. Monthly surface water body layers were not produced for a few months due to the non-availability of Sentinel 1 data. The work was supported by MRC, AHRC, BBSRC, ESRC and NERC [grant number MR/P024335/1] and NERC - SUNRISE project [grant number NE/R000131/1] Full details about this dataset can be found at https://doi.org/10.5285/3c23fea1-5b27-4b01-b9ef-fc13346cfedc

This dataset includes data collected from the Bowl site located with the Pontbren study catchment in mid Wales, UK. The Bowl is an area of improved grassland and was instrumented between 2004 to 2010 and monitored as part of the Pontbren Catchment Study Land Use and Management Multi Scale Experimental Programme. Variables measured and included in this dataset are the drain flow from a field drain, overland flow runoff and soil water tension within the improved grassland hillslope. Other variables measured at the Bowl but not included in this dataset are: climatic data from an automatic weather station, precipitation, groundwater height, and soil moisture data (using a neutron probe); these other datasets are also available. Within this Pontbren Bowl study site folder are a series of sub-folders with different datasets all associated with the Bowl study site. The Bowl runoff folder includes all runoff data from the Bowl study site. Runoff from the Bowl in the form of overland and drain flow was monitored using a combination of tipping bucket and weir box monitoring systems. Flow is measured in litres/second (ls-1) and runoff data from the bowl was collected for the period end of 2004 to 2010. Differences in sampling time occurred throughout the monitoring period due to logger limitations. Changes in sampling time can be found by examining specific data files. Changes in the size of the bucket of the tipping bucket system also occurred during the monitoring period. It is considered that the weir boxes provide a more accurate prediction of the highest flows, however there are times when they are not operation. The Bowl tensiometers folder contains soil water tension (cm H2O) data collected from two transects with arrays of tensiometers measuring soil water tension at 10 cm, 30 cm and 50 cm depth. Soil water tension data for the Bowl study site exist for the period 2005-2009. Data are provided in the form of .txt files and generally split into 6 month blocks. Associated with each data point in the .txt file is a quality assurance code, QA code, in the adjacent column. Note that for the Bowl tensiometer data in the early years of monitoring data from both transects are provided in one file. From March 2008 onwards there is a reduction in the number of tensiometers installed and the data files are split. Files with BotQC in the title contain data from the lower array of tensiometers and files with TopQC in the title contain data from the array of tensiometers further up the hillslope of the Bowl study site. Details of the dataset and the quality assurance coding system are provided in the supporting documentation.

The dataset contains instantaneous fluxes of carbon dioxide, methane and nitrous oxide from intact lysimeters in agricultural grasslands in the Hampshire Avon catchment (UK). Manipulations of soil temperature, soil water saturation, additions of nitrogen, phosphorus and of nitrogen and phosphorus were made at three orthogonal experiments in three sub-catchments of contrasting geology (chalk, clay and greensand). Fluxes of carbon dioxide were directly measured continuously during 2014 and 2015 using automated chamber approach, and fluxes of methane and nitrous oxide were measured in 'campaign' mode. Flux measurements consisted of chamber closure for 180 seconds, except when in 'campaign' mode when measurement periods were extended to 300 seconds. Full details about this dataset can be found at https://doi.org/10.5285/8031c2c1-7032-4958-b314-7664d747b988