1056 research outputs found
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Dataset for "A socio-mathematical approach to exploring conflicts between energy retrofit and perceived heritage character"
No full textThe data here are the results of the survey of people's attitudes to energy retrofit of the historic building. For more details, please see the paper.
https://doi.org/10.1016/j.buildenv.2018.03.045Human surveySummary stats in exce
Dataset for "The effect of acute hypohydration on glycemia in healthy adults"
No full textThis dataset provides the data collected for a trial investigating the role of hydration status on glycaemic regulation in healthy adults (n = 16; n = 8 male). To our knowledge, the effect of hydration status on glycemia has never been causally investigated in healthy adults. Therefore, the goal was to explore how acute hypohydration impacts blood sugar control in healthy adults. The trial was a randomised crossover trial, with each trial arm lasting 5 days. The first 3 days were lifestyle monitoring, day 4 was a dehydration/rehydration day (including lifestyle monitoring), and day 5 was the full trial day. The trial arms were hypohydrated (HYPO), or rehydrated (RE).This was a randomised crossover trial in 16 volunteers (n = 8 male). The protocol consisted of a 5 day protocol:
- Days 1-3: Weight diet records, wearing physical activity monitor (ActiHeart™), morning urine specific gravity, morning body mass.
- Day 3: Minimum fluid intake requirement (40 ml/kg lean body mass), no food or fluid after 2200 h.
- Day 4: pQCT scan, fasted blood sample, 1-h in heat tent. After heat tent, low water content foods only were consumed, along with a rehydration protocol (40 ml/kg lean body mass + 150 % sweat losses from heat tent of water only), or a hypohydration protocol (3 ml/kg body mass), conducted in a random order. No food or fluid after 2200 h.
- Day 5: pQCT scan, metabolic rate, fasted blood sample, opt-in muscle biopsy (followed by another fasted blood sample), OGTT with regular metabolic rate measures.
Exercise and food and fluid consumed on days 1-4 were replicated on the subsequent trial, with the exception of water on day 4 which was set according to the protocol.Data in this dataset have been anonymised, but (unless otherwise stated), raw data are given.Trial registrations: Clinicaltrials.gov – NCT02841449; Open Science Framework – osf.io/ptq7m.
Deviations to registered protocol are explained in the dataset
Dataset for "On biogenic turbulence production and mixing from 1 vertically migrating zooplankton in lakes"
Get PDFThe dataset provides information of data collected on 21 July, 28 July and 28 August 2016 in Vobster Quay, a 40-m quarry, located in Radstock (UK). Data were collected during the diel vertical migration (DVM) of zooplankton at dusk to understand whether small zooplankton can generated turbulence in the lake interior. The dataset contains: (1) backscatter strength data from a 500-kHz ADCP by Nortek, (2) profiles of zooplankton concentration and (3) profiles of dissipation rates of turbulent kinetic energy acquired with a microstructure profiler
Dataset for ''Continuous-Wave Mid-Infrared Gas Fiber Lasers''
No full textThe dataset include all necessary data to generate figures 1, 4 (b), 4(c), 5–8 in the associated manuscript, "Continuous-Wave Mid-Infrared Gas Fiber Lasers". These data measure the properties of the lasers under different conditions, including different gas pressures and fiber lengths.1. Figure_1_original_absorption_intensity_strength_from_HITRAN.csv contains the orignal downloaded data from HITRAN database. MATLAB code is to convert the absorption intensity to the spectral transmittance per meter in fig.1.
2. Figure_4_b_input_spectra.csv contains the measured EDFA output spectrum for different amplifications in fig.4 (b).
3. Figure_4_c_fiber_attenuation.csv contains the measured hollow core fiber attenuations in fig.4 (c).
4. Figure_5_a_output_power_at_different_pressures_incident_power.csv contains the measured output laser power as a function of incident power at different pressures in fig.5 (a).
5. Figure_5_b_output_power_at_different_pressures_absorbed_power.csv contains the measured output laser power as a function of absorbed power at different pressures in fig.5 (b).
6. Figure_6_a_max_3_microns_power.csv contains the maximum output laser power as a function of the pressure for different fiber lengths in fig.6 (a).
7. Figure_6_b_threshold.csv shows the lasing threshold as a fuction of pressure for different fiber lengths (6m, 15m, 40m) in fig.6 (b).
8. Figure_7_P_P_ratio.csv contains the laser peak intensity via P(9) transition over the one via R(7) transition as a function of incident pump power in fig.7.
9. Figure_7_inset_output_spectrum.csv contains the normalized laser spectrum at 3 micron in fig.7 inset.
10. Figure_8_a_absorbed_spectrum.csv contains the typical measured spectra when pump light is tuned on and off P(9) wavelength in fig.8 (a).
11. Figure_8_b_fiber_side_length.csv contains the pump absorption as a function of position along 15 m fiber for different incident powers at 0.6 mbar pressure in fig.8 (b).
12. Figure_8_c_fiber_side_different_pressures.csv contains the pump absorption as a function of position along 31m fiber at different pressures with full incident power in fig.8 (c).
13. Figure_8_c_inset.csv contains the caculated pump absorption slope efficiency as a function of pressure in fig.8 (c) inset
Raw Data for Azetidinium Lead Iodide for Perovskite Solar Cells
No full textHere we prepare azetidinium lead iodide for the first time. Azetidinium lead iodide is a stable, bright orange material which does not appear to form a 3D or a 2D perovskite. It was successfully used as the absorber layer in solar cells. We also show that it is possible to make mixed cation devices by adding the azetidinium cation to methylammonium lead iodide. Mixed azetidinium-methylammonium cells show improved performance and reduced hysteresis compared to methylammonium lead iodide cells.
This dataset includes all structural and electrochemical raw data, including thin film XRD, UV/Vis, Cyclic Voltammetry and Mott Schottky measurements. It also includes the main parameters (Efficiency, Open Circuit Voltage, Short Circuit Current Density, Fill Factor) for all those made. The raw data includes JV curve data of the best pixel from each set, a stabilised efficiency measurement for the MAPI, A1 and A2 cell and an EQE measurement of the best overall pixel.For full details of how the data was collected, please see the corresponding paper, available from https://doi.org/10.1039/C7TA07545F
Data set for journal paper "Chemical aspects related to using recycled geopolymers as an aggregate"
No full textAll data used to produce the graphs included in the journal paper "Chemical aspects related to using recycled geopolymers as an aggregate" published in "Advances in Cement Research".All information required to interpret the data are in the associated paper, available from the bath research portal
Dataset for "Energy or Carbon? Exploring the relative size of universal zero carbon and zero energy design spaces"
Get PDFA new Standard Building Model (SBM) was developed in Matlab to simulate the construction and performance of multiple buildings in multiple global locations. Virtual materials objects, with embodied carbon and energy, and where applicable thermal resistance properties, were combined by SBM to create virtual building objects. These were then assessed under defined conditions (locations, number of occupants, infiltration levels, etc.) to generate SBM cases. The properties of the building objects, and the specifications of the assessment conditions were varied. The overall result was the generation of 24.7 million SBM cases.
The performance of each case was assessed in terms of both net carbon emissions and net energy demand (normalised to the internal floor area).Multiple Standard Building Model (SBM) Building System Objects were generated in MATLAB. For simplicity, all SBM Building Objects are cuboid, but may be tall and thin, short and wide, or anything in between. Multiple Building Object dimensions were defined, and valid SBM outputs required a width : height ratio greater than 0.125.
The Building Objects were modelled with different heat loss/gains characteristics, and in different locations.
SBM generated 24.7 million Building System Object cases. Each case is assessed on the basis of both net carbon emissions and net energy demand.
Each SBM case assessment output is generated with a unique 14 unit case code (MATLAB vector) whereby each unit value identifies a particular characteristic of the case in question (see Table 1) followed by the output value.
The output data are Microsoft Access Table (.mat) files. Each file contains two matrices (1,658,880 x 15). One matrix records the 14 unit case codes and the net carbon emissions outputs (labelled ZCBdata). The other matrix records the 14 unit case codes and the net energy demand outputs (labelled ZEBdata).
See also Data Explanation doc Table 1: SBM case code units, characteristics and values
Dataset for "Next-generation in vitro liver model design: combining a permeable polystyrene membrane with a transdifferentiated cell line"
No full textData for the paper, "Next-generation in vitro liver model design: combining a permeable polystyrene membrane with a transdifferentiated cell line." The dataset contains size measurements of the salt crystals used; thermogravimetric analyses of the membranes; mechanical properties of the flat sheet membranes; contact angle measurements used to determine membrane hydrophobicity; pore size distribution in the flat sheet membranes; hollow fibre dimensions deduced from scanning electron microscopy images; measurements of nitrogen and water permeation through the hollow fibre membranes; viability counts of B13 cells; and quantities of serum albumin secreted by the B13 cells over a period of 24 hours, relative to the mass of total protein.Full details of the methodology can be found in the 'Experimental' section of the associated manuscript
Data for "The Impact of Tilt Grain Boundaries on the Thermal Transport in Perovskite SrTiO3 Layered Nanostructures. A Computational Study"
No full textDatasets for computer simulations of tilt grain boundaries in SrTiO3, used for lattice dynamics and molecular dynamics calculations. These calculations were used in the paper, "The Impact of Tilt Grain Boundaries on the Thermal Transport in Perovskite SrTiO3 Layered Nanostructures: A Computational Study," to demonstrate how nanoscale structural features may be identified that can facilitate thermal transport in technologically important nanostructured materials such as SrTiO3.Details of the methodology may be found in the 'Computational methods' section of the associated paper, and in the readme.txt files included in the dataset.The following software was used in processing the data: LAMPPS (https://lammps.sandia.gov/); PHONOPY (https://atztogo.github.io/phonopy/); METADISE (https://doi.org/10.1039/FT9969200433).The phonopy directory contains the three structures to run through the simulation code: PHONOPY was used for the lattice dynamics calculations.
The thermal_conductivity directory contains a series of folders giving the data for the molecular dynamics calculations using LAMMPS
Dataset for "Surfactant controlled zwitterionic cellulose nanofibril dispersions"
No full textDataset for each figure appearing in the manuscript, "Surfactant controlled zwitterionic cellulose nanofibril dispersions".
Fig. 2 shows the z-potential (mV) of ZCNF and OCNF dispersions as a function of pH. The average and standard deviation of values obtained for duplicate samples are reported.
Fig. 3 shows the z-potential (mV) of ZCNF dispersions at 0.01 wt% upon addition of 25 mM SDS, 25 mM DTAB and 25 mM TW80 is presented as an average of measurements on duplicate samples.
Fig. 4 shows the surface tension at the air–water interface (gamma-aw) of 0.001 wt% ZCNF dispersions upon addition of (a) 125 mMSDS,(b) 125 mM DTAB and (c) 2.5 mM TW80. The average of duplicate measurements is reported.
Fig. 6 shows the relative viscosity (eta-r) as a function of shear rate (s-1) for 0.5 wt% ZCNF dispersions containing (a) SDS, (b) DTAB and (c) TW80.
Fig. 7 shows the relative viscosity (eta-r) as a function of the shear rate (s-1) for 0.5 wt% ZCNF containing 50 mM SDS, 50 mM DTAB and 50 mM TW80.
Fig. 8 shows the SANS data for 0.5 wt% ZCNF dispersions in the presence of 1 mM d-SDS and 5mMd-DTAB in D2O. The data were fitted with a model of cylinder with an elliptical cross section. The intensity (I) is given in arbitrary units (A.U.).Methods are described in the respective manuscript
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