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River elevation and catchment area data for major rivers in Calabria, Italy (one river profile in each file). Data were extracted from 1 arc second SRTM (Shuttle Radar Topography Mission) Digital Elevation Models using the Arc GIS hydrology toolbox between October 2015 and October 2019. These river profiles were acquired for fluvial inversion to calculate rock uplift in Calabria.
This dataset contains numerical model output of a morphodynamic and sedimentological simulation of a large river confluence based loosely on the Jamuna-Ganges junction in Bangladesh. The work was carried out as part of a joint project between the Universities of Birmingham, Southampton and Exeter. "The sedimentology of fluvial megascours" was a scientific research project funded by NERC. One aspect of the project was to undertake numerical simulations (the data described here) with which to compare with river bed bathymetry data (collected using a multibeam echosounder) and sub bottom seismic profiling data (collected using a surface tow boomer and chirp system). The data has been accepted for a publication in the journal 'Sedimentology' which will be published in 2018 with the title 'The Sedimentology of channel confluences'.
This dataset contains data from a river multibeam and seismic survey which took place in 2013 and 2014 at scour sites within the Brahmaputra river basin in Bangladesh. The survey was carried out as part of a joint project between the Universities of Birmingham, Southampton and Exeter. "The sedimentology of fluvial megascours" was a scientific research project funded by NERC. The purpose was to collect the data necessary to validate the first generic numerical model of scour zone stratigraphy that will be widely applicable to a broad range of large rivers. River bed bathymetry data were collected using a multibeam echosounder. Sub bottom seismic profiling data were collected using a surface tow boomer and chirp system. Technical details of the survey are contained in the cruise report of the survey which comprises part of the metadata. Some of the data has been accepted for a publication in the journal 'Sedimentology' which will be published in 2018 with the title 'The Sedimentology of channel confluences'.
The datasets consist of soil moisture (hourly-weekly), river stage (1 min), and groundwater level (hourly) collected as part of the BRAVE project (NE/M008827/1 and NE/M008983/1) to understand the resilience of boreholes in low-yielding aquifers in the River Volta Basin to climate. The data were collected from physical observatories in Sanon (Burkina Faso) and Aniabisi (Ghana). Soil moisture data were logged hourly beneath contrasting land uses and roaming soil moisture surveys were also undertaken across a wider access tube array. River stage was monitored at the catchment outlet in Sanon and groundwater levels were measured in both catchments.
Paired water and river sediment samples were collected from Vietnam Australia, Cambodia and Nepal. Waters were analysed for major ions, Sr isotopes and Mg isotopes. Sediments were sequentially extracted using ammonium chloride, acetic acid and hydrochloric acid to target exchangeable ions, calcite and dolomite respectively. They were analysed for major ions and selected isotopes.
Cation, anion and Sr isotope data from Nepalese river water. Suspended sediment concentration, suspended sediment chemistry presented as wt% oxides from Nepalese rivers. Both the waters and sediments were collected following the 2015 earthquakes.
The data comprises of dimensions of large wood pieces and the isotope composition (radiocarbon, stable carbon isotopes) of cellulose extracted from the wood samples. Large Wood (LW) samples were collected from the Mackenzie River delta region, Northwest Territories, Canada, in August 2019 and were analysed at the National Environmental Isotope Facility, UK. The scientific aims were to help constrain the source and age of wood carried by this large river system draining to the Arctic Ocean. Full details about this dataset can be found at https://doi.org/10.5285/19be1a45-c457-40af-a582-395257d7a3b0
This dataset contains genotypes (in three digit-format) for unique clones of the freshwater bryozoan species Cristatella mucedo and Fredericella sultana at microsatellite loci and representing sampling sites across the UK. Cristatella mucedo data additionally covers Northern Ireland. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/9d63e68b-2499-40fb-b05b-4fa2a55399fc
This dataset contains in-stream measurements of sediment porewater nutrients, nitrification rates (and the fraction which is either fully oxidised to nitrate or reduced to N2 gas), and the abundance of microbial 16S rRNA and specific N-cycling genes and transcripts. Sediments were sampled in winter (February 2018) and summer (July 2018), from 12 UK rivers with permeable beds (sand or chalk geology) and a gradient of P concentrations, in the Hampshire Avon catchment, Kent, and Essex. Methods included measurements of porewater nutrients using Skalar SAN++AutoAnalyser, nitrification rates from in-situ ‘push-pull’ injections of 15N-labelled ammonia and -nitrite, and sediment microbial gene and transcript abundance by DNA extraction and qPCR. The work was supported by the Natural Environment Research Council (Grants NE/P01142X/1, NE/P011624/1; A new dynamic for Phosphorus in RIverbed Nitrogen Cycling - PRINCe Full details about this dataset can be found at https://doi.org/10.5285/d432d96c-7aff-45a5-9d4b-37e4065afdd7