This dataset provides details about each time we observed two banded mongoose groups engaging in what ended up being lethal conflict at our field site (Mweya, Uganda) between 2000-2011. The dataset provides information about which group won the contest (measured by which group ran from the location of the fight), which individual died in the battle, whether that individual was in the losing or winning group, and the date. The purpose of this data was to estimate the proportion of mortalities which come from winning groups vs. losing groups. Full details about this dataset can be found at https://doi.org/10.5285/75f2072e-f708-46d8-baff-0c6d02d81ede

Datasets consists of the results of Computational Fluid Dynamics (CFD) flow simulations for a section of the South Saskatchewan River, Canada. The aim of these CFD simulations was to investigate the effect of dunes on the depth-averaged and near-bed flow fields. Modelling was carried out using the open source CFD package OpenFOAM to solve the three-dimensional Navier-Stokes equations. The dataset consists of two files, one with simulation results for a river bed characterised by alluvial bedforms (dunes) and one for a smooth river bed without dunes. This work was part of NERC project NE/L00738X/1. Digital Surface Models (DSMs) were constructed using imagery obtained on four occasions (13th May 2015; 2nd Sept 2016; 8th June 2017; and 12th June 2017). Full details about this dataset can be found at https://doi.org/10.5285/7db04405-2f5e-4543-aa94-948ddbcd588a

These data contain bank strength measurements in a 100 km reach of the Solimões River from Sep/Oct 2022 recorded with a shear vane and a cohesion strength meter. In addition, processed satellite (Landsat) imagery from 1984-2021 was used to calculate erosional and depositional area in three 50-120 km long reaches in the Solimoes River presented here as shape-files. Processed Corona imagery 1967 for a 120 km long reach in the Solimoes River shows the banklines and bar outlines. A spreadsheet provides erosional and depositional area at 20-km sections along the 1,600km of the Solimoes River that were based on measuring floodplain width from a digital elevation model (FABDEM). We also attach a GeoTIFF file of the multibeam echo sounder (MBES) data collected during the field campaign in a 20-km long reach in the Solimoes River Full details about this dataset can be found at https://doi.org/10.5285/11786f86-a3ac-45ab-81b5-10fd157e3d7a

Data were collected in 2017, to provide information on spatial patterns of dune migration rates and associated water flow characteristics, at locations on the South Saskatchewan River, Canada. Dune migration rates were measured using repeat aerial imagery. Bedform crests were digitised in individual images, and average dune migration rates were calculated from the mean migration distance between image pairs, divided by the time between image collection. Water depth and velocity data were collected using a Sontek M9 acoustic Doppler current profiler (aDcp) mounted on a small zodiac boat. The position of the aDcp was recorded using a RTK dGPS system. Data were collected on 12th June 2017 as part of NERC project NE/L00738X/1 Full details about this dataset can be found at https://doi.org/10.5285/864434b7-2102-4edc-802d-ebdbfe9ff766

Data were generated to investigate the influence of bed roughness on the dynamics of large sand-bed rivers like the South Saskatchewan, Canada. The influence of roughness was investigated by using a numerical model to simulate the evolution of the river bed for a hypothetical sand-bed river modelled on the South Saskatchewan. The model generated information on the evolving river bed topography, water depth, flow velocities and sediment transport rates, over a period of 28 years as part of NERC project NE/L00738X/1 Full details about this dataset can be found at https://doi.org/10.5285/790e507c-ce99-47ca-99b4-c97a684ee8c6

[This dataset is embargoed until December 31, 2025]. The data set was generated at the University of Birmingham Free Air CO2 Enrichment (BIFoR-FACE) facility where the responses of nutrient transformation processes, litter decomposition, mycorrhizal biomass and turnover and enzyme functions, root exudation rates, root nitrogen uptake rates and preferences were evaluated during the 4th to 6th years of CO2 fumigation (2020-2022) The first hypothesis tested was that trees under elevated CO2 will allocate more carbon belowground (via exudation and symbiotic mycorrhizal fungi) for nutrient acquisition. The second hypothesis tested was the enhanced C allocation belowground will prime microbes for nutrient mineralisation via extracellular enzyme functions to meet enhanced nutrient demands. The third hypothesis tested was that trees would take more nitrogen and that the order preference for different available nitrogen forms is amino acids, ammonium, and nitrate. Coupled with this hypothesis the experimental work included both field and laboratory characterisation of selected variables and their responses to CO2 enrichment including gross N mineralisation, litter decomposition, extracullular enzyme activities, mycorrhizal (arubuscular and ectomycorhizae) characterisation, hyphael turnover, root C and N exudation and root uptake rates and preferences. The data on these variables is provided in CSV files together with metadata files detailing the experimental, analytical and quality control aspects of the data collection, curation and finalisation. These variables were assessed during the fourth to the sixth year of CO2 enrichment at BIFoR-FACE, thus creating a key data for the early responses of CO2 fumigation. Since BIFoR_FACE will continue the experiment into 2030s, thus this data provides the early responses in a long-term experiment of its kind in the UK and in northern temperate environments in the world. Full details about this dataset can be found at https://doi.org/10.5285/a05b9519-f0c8-48ef-a9c6-43d0326f590f