[This nonGeographicDataset is embargoed until June 4, 2026]. This dataset contains information about the weight of plastic (polycaprolactone) beads that were incubated in 10ml of Luria Bertani broth for 5 days at 37 degrees Celsius. Three replicates were performed. The bacterial cells had been modified to harbour plasmids that encoded genes to degrade plastic and/or to trigger the cells to form biofilms, the expression of these genes was induced using Isopropyl β-d-1-thiogalactopyranoside (IPTG). An empty plasmid was used as the control. The work was supported by the Natural Environment Research Council (Grant NE/X010902/1), as part of an experiment looking into using synthetic biology to manipulate bacterial social behaviours to maximise the microbial degradation of environmental waste plastics. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/bd582f82-ba16-4bc6-8a25-ec29bb22bb5b

[This dataset is embargoed until February 2, 2026]. For the Bislak River, the Philippines, this dataset contains: (i) topography and orthoimagery in 2019 and 2020; (ii) Digital Elevation Models (DEMs) of Difference; (iii) predicted depth, velocity and shear stress from HEC-RAS two-dimensional hydraulic model simulations for 10, 50 and 100 year return period flood scenarios; and (iv) calculated bedload transport for 10, 50 and 100 year return period flood scenarios. Shear stress predictions were combined with median (D50) grain size observations to compute bedload transport rates for four different river patterns (meandering, wandering, braided, deltaic). For the 50 year return period flood event, bedload transport rates were also calculated for the D16 and D84 grain size. Geomorphic change detection was used to identify geomorphic change which took place between 2014-2019 and 2019-2020. All geospatial data are in WGS 1984 UTM Zone 51N. This data was created as part of a numerical, two-dimensional hydraulic modelling investigation to predict patterns of flood inundation and bedload transport for the Bislak River Philippines under different flood scenarios (10-, 50- 100-year flood events). Full details about this dataset can be found at https://doi.org/10.5285/5b29d98e-28b6-4ca7-89b3-57174d6b404a

This data set contains satellite-derived information on geomorphic river mobility for ten catchments in the Philippines. We applied the locational probability approach to map the proportion of time that a river channel occupies a particular location. We quantified satellite-derived locational probabilities for 600 km2 of riverbed. The information is useful for predicting and developing resilience to river-related hazards in dynamic landscapes. We provide example Google Earth Engine (GEE) and MATLAB codes to replicate satellite-derived locational probability analyses, and provide outputs for each catchment. Data sets include: (1) example GEE codes to run satellite imagery analyses; (2) example MATLAB codes and data to generate locational probabilities; (3) example MATLAB codes and data to produce longitudinal analyses; and, (4) processed locational probability outputs for the ten catchments. The work was supported by the Natural Environment Research Council (NERC) and Department of Science and Technology - Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD) – Newton Fund grant NE/S003312. Full details about this dataset can be found at https://doi.org/10.5285/a2bcc66e-4dcc-4ed1-897d-cdf36dde246d

This dataset contains the annual flow data of organic waste and nutrients (nitrogen and phosphorus) in the region of Leicester City and Leicestershire Country in the UK, for the year of 2019. Full details about this dataset can be found at https://doi.org/10.5285/df329c40-cd4d-48d9-90d7-968f69df2279