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An experimental and computational study to resolve the composition of dolomitic lime.
Experimental and computational data.Experimental data obtained using DW Renishaw Raman Microscope.
In computational_data.xlsx:
- Distances in nm unless stated.
- Energies in eV unless stated.
- Lattice data contains minimised lattice vectors.
- Formation energies vibs contains the formation energies taking into account vibrational modes, highlighted values are correct in units.
- Formation energies naïve contains purely structural values to allow initial comparisons.
- Phase diagram contains the steps in calculating T-x location of binodal, first assess TS at each T including vibrational data, this gives S for which S(x) is then obtained from look-up table.
In vibrational_data.tar.gz, all folders contain the following:
- input.txt with format: system name, number of modes, mode1, etc.
- th.out with format {Temperature} {Helmholtz vibrational energy} {Entropy} {Vibrational energy} {Zero point energy}.
Where Raman calculations were also performed, additional files:
- vasp_raman.dat with format {mode} {freq(cm-1)} {alpha} {beta2} {activity}
- raw.dat/norm.dat where Gaussians are fitted to Raman active modes indicated in vasp_raman.dat; in norm.dat these are normalised by the maximum value.
In exp_raman.tar.gz:
- Experimental Raman data for Calcite, Dolomite and Magnesite in Raman_******.dat.
- Two column data: Raman shift (cm-1); Intensity (a.u)
Impact assessment in complex contexts of rural livelihood transformations in Africa. Part 2- Interview data
Abstract copyright data collection owner. Qualitative interview resulting from semi-structured household interviews and focus group discussions that aimed to assess the impact of development activities that are intended to benefit poor men, women and children; and how their income and food security is changing. The study took place in four rural village sites: Masumbankhunda and Karonga areas in Malawi and Tigray and Oromia areas in Ethiopia.The full data collection methodology is outlined in the attached documentation files. The approach used is Qualitative Impact Assessment Protocol (QUIP). This approach aims to collect information on changes in people's lives over the same period of time as the development intervention that is being assessed by the implementing NGO.
Semi structured questionnaires were used with selected beneficiary households that were sampled using a stratified randomised sub-sample of the households in the quantitative monitoring survey, using a combination of open-ended and closed questions.
Field researchers were recruited and trained, but given no information about the development project being evaluated to avoid confirmation bias. This is called 'blinding' in the methodology.
The dataset consists of Excel files that contain all anonymised interview transcripts for individual households and focus groups. This dataset is linked to a related set of quantitative monitoring data for the same projects
IMaging and Probabilistic Assessment of Composite damage Threats (IMPACT)
Data store for all ultrasonic C-scan, X-ray Computed Tomography and impact test data created during the impact project. Data is organised into sets of data for each coupon tested. Coupon descriptions given in the table below will include stacking sequence, material, ply-thickness, coupon thickness and impact energy. Please cite this data set as:
Rhead, A. and Pernice, F., 2016. IMaging and Probabilistic Assessment of Composite damage Threats (IMPACT). University of Bath. https://doi.org/10.15125/BATH-00195Data collection methods and processes are described in detail in the conference paper:
Pernice, M. F. and Rhead, A., 2016. Ply-By-Ply Delamination Morphology In Composite Laminates Under Low-Velocity Impact. In: ECCM17 - 17th European Conference on Composite Materials, 2016-06-26 - 2016-06-30.
Details of each coupon is included with its record. X-Ray data are provided for groups of coupons as a single image contains several items. Individual coupons are identified within the image.A current list of available coupons is in the file DataSet_v[date].xls
Dataset for Journal Paper "Wound FRP Shear Reinforcement for Concrete Structures"
The Dataset contains the following files:
- ‘Tensile tests wet layup’
- ‘Tensile tests prepreg’
- ‘Stirrups tests’
- ‘Flexural tests
Nanofiltration and reverse osmosis membranes for purification and concentration of a 2,3-butanediol producing gas fermentation broth
A series of commercially available Nanofiltration and Reverse Osmosis membranes have been investigated for the concentration of 2,3-butanediol and acetate within the context of a gas fermentation broth. The membrane BW30 has been found to exhibit suitable characteristics for the concentration of 2,3-butanediol and acetate within the gas fermentation broth.The membranes used in all dead-end filtration experiments were either purchased from Sterlitech (USA) or fabricated according to (Section 4.3.2). 2,3-Butanediol (98 %), Ethanol (≥ 99 %) and Acetic Acid (≥ 99 %) were purchased from Sigma Aldrich (UK). Ammonium Acetate (97 %) was purchased from Alfa Aesar (UK).
Dead end filtrations were carried out in a Sterlitech HP4750 stirred cell made of stainless steel with an active membrane area of 14.6 cm2. A magnetic stirrer just above the membrane surface was used for mixing of the feed and minimizing concentration polarization. The dead end cell was placed in a water bath on a heater-stirrer for stirring speed and temperature control. Pressure was applied using compressed nitrogen and measured with a pressure gauge. Weight of permeate was recorded using a Sartorius LC3201D-00MS balance with a data logging program developed in Labview.
Flat sheet membrane discs of 47 mm diameter were either cut out from larger flat sheets with a scalpel or used as received as pre-cut discs. NF and RO membranes were conditioned by permeating DI water under pressure before use for ~ 2 hrs, until constant flux was achieved. Polysulfone ultrafiltration membranes were conditioned at 60 ºC for 90 min with DI water. After conditioning, membranes were stored in DI water.
The concentration of organic solutes in feeds, permeates and retentates were analysed by HPLC using an Agilent Technologies 1200 series instrument. A Phenomenex organic acids column (7.8 x 300 mm) was used at 60 °C with 5 mM H2SO4 as mobile phase and a flow rate of 0.7 mLmin-1. Solutes were detected with an RI detector and concentrations interpreted through the peak area using external calibration. Fermentation samples were prefiltered with a 0.22 μm syringe filter (Millipore, UK) before analysis to remove any suspended particles.
pH measurements of solutions were conducted on a Denver Instruments 250 pH meter. The pH meter was calibrated to solutions of pH 4, 7 and 10 before use.
Conductivity measurements were carried out on a Thermo Scientific Orion Versa Star conductivity meter
Coupon AM1_Lam16_002 (IMPACT)
Stacking sequence: [(+45/0/-45/90)_2]_s
Material: T800/M21
Ply-thickness: 0.2569
Number of plies: 16
Impact energy (J): 6Details about this dataset are available from the main record: https://doi.org/10.15125/BATH-0019
Coupon AM1_Lam16_008 (IMPACT)
Stacking sequence: [(+45/0/-45/90)_2]_s
Material: T800/M21
Ply-thickness: 0.2574
Number of plies: 16
Impact energy (J): 8Details about this dataset are available from the main record: https://doi.org/10.15125/BATH-0019
Coupon AM1_Lam16_0016 (IMPACT)
Stacking sequence: [(+45/0/-45/90)_2]_s
Material: T800/M21
Ply-thickness: 0.2560
Number of plies: 16
Impact energy (J): 20Details about this dataset are available from the main record: https://doi.org/10.15125/BATH-0019
X-ray data for coupons: AM1_Lam16_005, AM1_Lam16_006, AM1_Lam16_0015, AM1_Lam16_0019 and AM1_Lam16_0024 (IMPACT)
Details about this dataset are available from the main record: https://doi.org/10.15125/BATH-0019
Coupon AM1_Ply16_011 (IMPACT)
Stacking sequence: [45_2/0_2/-45_2/90_2]_s
Material: T800/M21
Ply-thickness: 0.2559
Number of plies: 16
Impact energy (J): 24Details about this dataset are available from the main record: https://doi.org/10.15125/BATH-0019