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Data on coupled hydrothermal flow in fine sands based on X-ray CT imaging and numerical simulation
Coupled hydrothermal flow can occur in soils, for example in applications such as ground heat storage and nuclear waste disposal. Therefore, approaches to quantitative analysis of water transfer in response to imposed thermal gradients are required, especially in unsaturated conditions. Analysis methods also require validation by laboratory and field data, which can be hard to obtain. This dataset includes the processed results from X-ray µCT experiments where specimens of a fine sand and a fine silty sand were subjected to heating from their base. Repeated scans, set up to balance image quality and scan duration, were carried out during the heating process, on specimens between 20% and 50% saturation. Gaussian decomposition techniques were used to determine the changing soil phase proportions throughout the experiments, which are reported here. The CT data is accompanied by COMSOL files for simulation of the experiments on the fine sand. The dataset is to accompany the paper at https://doi.org/10.1016/j.gete.2022.100380 and provides the processed information used to construct the key results figures in that paper
Dimers of D76N-β2-microglobulin display potent anti-amyloid aggregation activity
Self-association of wild-type β2-microglobulin (WT-β2m) into amyloid fibrils is associated with the disorder Dialysis Related Amyloidosis (DRA). In the familial variant D76N-β2m, the single amino acid substitution enhances the aggregation propensity of the protein dramatically and gives rise to a disorder that is independent of renal dysfunction. Numerous biophysical and structural studies on WT- and D76N-β2m have been performed in order to better understand the structure and dynamics of the native proteins and their different potentials to aggregate into amyloid. However, the structural properties of transient D76N-β2m oligomers and their role(s) in assembly remained uncharted. Here we have utilized NMR methods, combined with photo-induced cross-linking, to detect, trap, and structurally characterize transient dimers of D76N-β2m. We show that the cross-linked D76N-β2m dimers have different structures from those previously characterized for the on-pathway dimers of ΔN6-β2m and are unable to assemble into amyloid. Instead, the cross-linked D76N-β2m dimers are potent inhibitors of amyloid formation, preventing primary nucleation and elongation/secondary nucleation when added in sub-stoichiometric amounts with D76N-β2m monomers. The results highlight the specificity of early protein-protein interactions in amyloid formation and show how mapping these interfaces can inform new strategies to inhibit amyloid assembly
Data Supporting Characteristics of hip joint reaction forces during a range of activities
This dataset contains the input and output data for a publication reporting the characteristics of joint forces for 13 activities in 18 normal healthy subjects. Activities included Walk, Walk Turn, Stand to Sit, Sit to Stand, Squat, Stand Reach, Kneel Reach, Lunge, and Golf Swing. Within the cohort ∼30% variability occurred in the manner in which each activity was completed. Within the activities the average maximum load characteristics varied in magnitude (0.5–6.4 ρBWT) and also in duration (0.96–5.89 s.) when compared to walking (3.1 ρBWT,1.1 s.). The corresponding impulse ranged from 1.6 during the Walk to 6.7 ρ.BWT.s for the Golf Swing . As high loads with low sliding velocities have been shown in the literature to be damaging to the tribology of compliant contact surfaces the findings are postulated by the authors to be specifically important for the pre-clinical testing of cartilage substitutional materials. Note: Force was normalized to body weight (ρBWT) throughout the study. The dataset contains all of the raw excel data supporting the publication
Under Pressure: The Structure of Water in Compressed Aqueous Trimethylamine N-Oxide - dataset
The following data are produced by using “empirical potential structure refinement” (EPSR) to analyse neutron scattering data on pressurised water and aqueous trimethylamine N-oxide. Experimental data are corrected for multiple scattering, attenuation, and inelasticity effects prior to EPSR. This produces a simulated box of atoms whose structure is consistent with the corrected experimental scattering data. This box is further analysed using custom analysis routines provided to calculate hydrogen bonding interaction energies between pairs of molecules
Dataset for the thesis 'Modelling neodymium isotopes to investigate the marine neodymium cycle'
Supplementary files for adding neodymium isotopes (143Nd and 144Nd) to the ocean component of the FAMOUS General Circulation Model. Dataset includes: data tables containing (1) the seawater rare earth element (REE) compilation used to validate the Nd isotope scheme, and (2) all parameter values for the simulations forming the optimisation of the Nd isotope scheme, alongside all additional (i.e., historical) modification files (that are required on top of the FAMOUS base code to run the simulations described in this thesis), simulation files, and scripts for the scheme optimisation
Subchondral bone cysts in the ankle: patient-specific finite element study data
Data derived from finite element models of 18 haemophilic ankles to assess the statistical significance of subchondral bone cyst characteristics such as volume, depth, and location. Also included is a supplementary sensitivity study on the influence of subchondral bone cysts properties; and examples of stress redistribution with the addition of subchondral bone cysts presenting in the tibia alone, talus alone, and both tibia and talus
Data associated with 'The kinetics of acetic acid steam reforming on Ni/Ca-Al2O3 catalyst'
Data associated with figures of paper "The kinetics of acetic acid steam reforming on Ni/Ca-Al2O3 catalyst
Data associated with "How much of demand can be met by rainwater harvesting?"
Simulations with different combinations of roof catchment area, storage capacity, and demand can be assessed at any location where daily rainfall data is available. For the present consider a building in example city in Georgia with an impervious roof area of 100 m² roof (1076 ft²) and a non-potable demand of 200 L/d (26 gal/d). After establishing the water demand, then any supply-storage-demand problem can be iteratively experimented with a spreadsheet if local daily rainfall data is available to cover many decades. An example is provided for a simple rainwater harvesting example notionally in Atlanta, Georgia (33.64° N latitude, 84.43° W longitude), which is referred to as “Example City, GA, USA” in the 2021 ASHRAE Handbook – Fundamentals Chapter 14, with bogus ID WMO777777/WBAN99999 identifier to indicate it is unchanged from the 2017 Handbook Atlanta Hartsfield-Jackson with actual ID WMO 722190/WBAN13874. Within the U. S., the best source of rainfall data is found in National Oceanic and Atmospheric Administration’s (NOAA) Daily Observations Data Map (https://gis.ncdc.noaa.gov/maps/ncei/cdo/daily/). There are several different datasets available, but for the current discussion we are using the Global Historical Climatology Network to illustrate one possible spreadsheet form you could construct. So in this case select GHCN and enter the coordinates so you can zoom out to select station “GHCND:USW00013874”. Then select “custom GHCN Daily CSV” with the earliest possible date range (1930-01-01 through yesterday) and select only precipitation “PRCP”. Open your GHCN order with precipitation data (“PRCP”) in a spreadsheet and there will be 4 columns wide and thousands of rows long, with the first four rows shown above to explain that if there were for example 100,000 rows below the starting date it would be a record of 273 years of daily rainfall records. Beware that start dates prior to 01/01/1900 will not be recognized in Excel spreadsheets as a number readable in date formats that specify the day, month and year of record. The second column will be used to provide input and output parameters in your analysis of the date and precipitation records in the 3rd and 4th columns, as well as running accounts of a rainwater harvesting system to occupy the 5th, 6th , and 7th columns titled “Cache”, “Makeup” and “Overflow”
The Garden of Forking Paths
The Garden of Forking Paths project is a practice research project that proposes a new model of composition for clarinet (extentable to other instruments) to focus on indeterminacy, contingency, and listening to the material agency of the instrument in ongoing collaboration with the player. The main project website is here - https://forkingpaths.leeds.ac.uk
Prospects of temperature performance enhancement through higher resonant phonontransition designs in GaAs-based terahertz quantum-cascade lasers dataset
Data repository that corresponds to figures associated with publication “Prospects of temperature performance enhancement through higher resonant phonon transition designs in GaAs-based terahertz quantum-cascade lasers” and the corresponding Supplementary documen