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ENLITEN focus group data
Get PDFA series of 5 focus groups and one interview were undertaken in April 2013 in Exeter UK. The participants were tenants and leaseholders of Exeter City Council (ECC) social housing. Participants were recruited by the resident involvement officer at ECC.
The focus groups involved three tasks:
1. A card sort task (see associated card sort dataset record)
2. A discussion about energy consumption in the home
3. A branding exercise where participants were told about plans to run a large monitoring study (see ENLITEN project databases) asked their opinions on various potential aspects of the study. Each focus group was recorded and the audio files were edited so that all relevant information to tasks 1 & 2 (psy1-6), and 3 (rec 1-6) were separated. The information relevant to tasks 1 & 2 was transcribed, however the information relevant to task 3 was thematically analysed directly from the audio files and a draft internal report was created contained this data (ENLITEN branding focus group results). One session was an interview as only one participant turned up. Further details about the focus groups can be found in the focus group materials and interview schedules document attached.Focus groups took place at a community center in Exeter in April 2013. The sessions were audio recorded. For further details see interview schedule and materials
Data for cryocharging and cryokinetics analysis of hydrogen storage in MIL-101 (Cr) and AX-21.
No full textData for high-pressure hydrogen adsorption in MIL-101 (Cr) and AX-21. Includes:
- Excel files (.xlsx) with isotherm data as excess uptake of hydrogen in weight percent (mass of hydrogen divided by dry mass of sample) for the metal-organic framework material MIL-101 (Cr) at 77, 90, 100, 110, 130, 150, 200 and 292 K and up to 12 MPa and for the activated carbon AX-21 at 90, 100, 110, 120, 150, 200 and 298 K and up to 18 MPa.
- Excel files (.xlsx) with rational fits to the compressibility of hydrogen using the Leachman's equation of state for 77, 90, 100, 110, 120, 130, 150, 200, 292 and 298 K, up to 20 MPa.
- Excel files (.xlsx) with kinetic data for hydrogen excess uptake (micromols), pressure (MPa) and sample temperature (K) as a function of time for the MIL-101 (Cr) 77 and 90 K isotherm and for the AX-21 90 K isotherm.
- Origin files (.opj) with the analysis of the isotherm data for the cryocharging
- Origin files (.opj) with the analysis of the kinetic data using the linear driving force model
- Image files (.tif) for the SEM micrographs for the MIL-101 (Cr) and AX-21, and image files (.tif) for the particle analysis using Image J.
Manuscript for the results in this dataset (forthcoming): "High-pressure adsorptive storage of hydrogen in MIL-101 (Cr) and AX-21 for mobile applications: cryocharging and cryokinetics" by Nuno Bimbo, Wesley Xu, Jessica E Sharpe, Valeska P Ting and Timothy J MaysExperimental data was collected on a volumetric sorption apparatus Hiden HTP-1 (Hiden Isochema, Warrington, UK), with the isotherm data published previously (http://dx.doi.org/10.1007/s10450-013-9575-7). The experimental data in this dataset includes the isotherm data and the kinetic data, which is available from the equipment.Isotherm and kinetic data were processed in Origin Pro 9.1 (OriginLab Corporation, Northampton, MA, USA). All the analysis files are available from this dataset. SEM images were analysed with Image J, with the results files also available from this dataset
Assessing hydrothermal liquefaction for the production of bio-oil and enhanced metal recovery from microalgae cultivated on acid mine drainage: Dataset
No full textRaw data for the paper "Assessing hydrothermal liquefaction for the production of bio-oil and enhanced metal recovery from microalgae cultivated on acid mine drainage".Analytical.Nothing needed beyond Microsoft office. In the files a list of experiments is given in an excel sheet, the results of the ICP-MS (analysed externally) are given in an excel sheet as are the summary of all other results (these include bomb calorimetry, CHN and yield data.) All the GC-MS traces (jpeg) of the VOC gas are given in a separate folder with that titl
Datasets for GTRUs EPSRC programmes, funded in collaboration with Siemens
No full textDatasets for GTRUs EPSRC programmes, funded in collaboration with Siemen
Data for Multipath Propagation of Low Frequency Radio Waves Inferred from High Resolution Array Analysis
No full textThe low-frequency radio sky shows the locations of electromagnetic radio sources with a characteristic dilution of precision. This dataset relates to a thorough high-resolution analysis of radio waves from low-frequency (∼20–150 kHz) radio communication transmitters which are recorded with a small aperture array of radio receivers during the day. It comprises data relating to the observed and simulated scatter of wave numbers, the scatter of observed wave numbers after correction with the impulse response of the array, the relative maxima and minima of the observed apparent frequency, the observed scatter of the segmented wave numbers after correction with the impulse response, and the observed distribution functions of the segmented electric field strengths. These data are visualised in Figure 1 of the associated paper, "Multipath propagation of low-frequency radio waves inferred from high-resolution array analysis".Data format: Platform independent matlab files
Dataset supporting the paper: Graphene Plasmonic Waveguides for Mid-Infrared Supercontinuum Generation on a Chip
No full textThe files in this dataset support the paper "Graphene plasmonic waveguides for mid-infrared supercontinuum generation on a chip" by Andrey V. Gorbach. They include the following:
1. Guided mode profile (all components of the electric field) recorded on a rectangular grid in (x,y) plane (for Figure 1 in the paper).
2. Data for effective indexes, attenuation length, nonlinear coefficient gamma and maximal ratio L_p/L_{nl} of waveguide modes, including attenuation length of the guided mode in the w=25nm wide waveguide as computed from COMSOL (for Figure 2).
3. Numerically computed output spectra for propagation of a 100 fs sech pulse with the peak power P0 in the 25 nm wide and 150 nm long GSP wavegide (Figure 3).Guided modes (electric field profiles, effective indeces) have been computed with the help of Comsol Multiphysics (http://www.comsol.com/) commercial Maxwell solver (version 5.1).
The pulse propagation equation was solved with the help of Matlab, by using the well established split-step algorithm, full details of the algorithm are available in G.P. Agrawal, "Nonlinear Fiber Optics," 5th ed. (Academic Press, 2013).In Fig1_data.csv, the grid parameters are x: (-15:0.1:15) nm; y: (-15:0.1:15) nm. All electric field components are in SI units (V/m).
In Fig2a_data.csv (effective indexes of waveguide modes), the first column gives values of the wavelength in µm, columns 2-5 give results for GSP mode without waveguide, and modes in waveguides of widths 5 nm, 15 nm and 25 nm, respectively.
In Fig2b_data.csv (attenuation length of waveguide modes), the first column gives values of the wavelength in µm, columns 2-5 give the length in µm for GSP mode without waveguide, and modes in waveguides of widths 5 nm, 15 nm and 25 nm, respectively.
In Fig2b_data_FEM.csv (attenuation length of the guided mode in the w=25nm wide waveguide as computed from COMSOL), the first column gives values of the wavelength in µm, and the second column gives the attenuation length in µm.
In Fig2c_data.csv (nonlinear coefficient gamma, in 1/(mW nm), of waveguide modes), the first column gives values of the wavelength in µm, columns 2-4 give gamma values for waveguides of widths 5 nm, 15 nm and 25 nm, respectively.
In Fig2d_data.csv (maximal ratio L_p/L_{nl} of waveguide modes), the first column gives values of the wavelength in µm, columns 2-4 give gamma values for waveguides of widths 5 nm, 15 nm and 25 nm, respectively.
In Fig3_data.csv, the first column gives values of the wavelength in µm, columns 2-5 give power (in dB) for the input pulse, and outputs for peak power P_0=1µW, P_0=20µW and P_0=500µW, respectively
Data underpinning: Remotely induced magnetism in a normal metal using a superconducting spin-valve
No full textThis dataset comprises the scanning Hall probe microscopy data presented in the supplementary information that accompanies the article titled "Remotely induced magnetism in a normal metal using a superconducting spin-valve" Flokstra et al, Nature Physics (2015)
DFT study of β-diketiminato iron(II) alkyl and phosphido complexes
No full textData supporting the following publication:
Facile, catalytic dehydrocoupling of phosphines using β-diketiminato iron(II) complexes
Journal: Chemistry, a European Journal
DOI: 10.1002/chem.201503399
Authors:
Andrew K. King, Antoine Buchard, Mary F. Mahon and Ruth L. Webster*
DFT study:
- Optimised geometries and computed free enthalpies of β-diketiminato iron(II) alkyl and phosphido complexes depending on their spin state.
- Thermodynamics of reaction between β-diketiminato iron(II) alkyl complex and diphenylphosphine.
- Thermodynamics of dimerization reaction of (DIPPNacnac)FePPh2
Protocol: uPBE1PBE/6-311+G(d) (Fe+core ligand)-6-31g(d) (rest of the molecule)/cpcm=benzene/T=343.15K (see basis_set.jpg)
except :
- [(DIPPNacnac)FePPh2]2 : 6-31g(d) for all atoms
- (DIPPNacnac)FePPh2_M062X_m=5 used uM062XE/SDD (Fe)-6-311+G(d) (core ligand)-6-31g(d) (rest of the molecule)/cpcm=benzene/T=343.15K
Content: Gaussian09 rev D.01 output files; basis_set.jpg (illustration of basis sets used
APC Payments Functional Costs Matrix
No full textFunctional costs for APC payments at four Universities (anonymised).Functional cost analyses were carried out for each of the four universities in the GW4 alliance: Bath, Bristol, Cardiff and Exeter. The project FCA was limited to a subset of the ten steps suggested by Yoshikawa, Innes and Mitchell. The area for analysis, team members and objective of the FCA having already been agreed and Lean 6 Sigma chosen as the methodology for identifying process improvements, the project FCA focussed on the gathering of data, definition of functions and the cost analysis. Throughout the process we have regularly communicated with related projects including Jisc Monitor and other OA Pathfinder projects.
Initially, information on the activities performed for the payment process were collected through interviews with Research Support or Repository Librarians at each of the collaborating partners.A flowchart of the process at each institution was then constructed, identifying the process flow and activities at each stage. Re-iterative scrutiny and editing refined the flowcharts until they were agreed to be accurate and complete.
The functions within the process were then identified and a functional family tree for the APC payments process developed (Diagram 1). The tree shows the primary function (F0) and four levels of sub-functions; the activities of the APC payment process relate to these functions
Dataset supporting the paper: Truth table invariant cylindrical algebraic decomposition
Get PDFThe files in this data set support the paper "Truth table invariant cylindrical algebraic decomposition" by Russel Bradford, James H. Davenport, Matthew England, Scott McCallum and David Wilson. They include the following:
1. A Maple worksheet and library file concerning the Maple results for the worked examples throughout Sections 1-7 of the paper.
2. A zipped directory of files concerning the worked examples from Sections 1-7 of the paper, this time when studied with Qepcad-B.
3. The example set that is the subject of the experiments in Section 8.2 of the paper, whose results were summarised in Table 2, and an example Maple worksheet that uses this set as input.
4. A Maple worksheet that shows how the numbers from Maple in Table 3 in the paper were obtained.
5. A zipped directory of files showing how the numbers from Qepcad-B in Table 3 in the paper were obtained.The data collection was by recording cell counts and timings of various CAD algorithms. A full explanation can be found in the associated paper.
Regarding the example set in Section82-ExampleSet.txt, we note that the timings for Maple reported in the paper were from running Maple in command line mode.
The same example set was tested in Qepcad. Here explicit ECs for a parent formula were entered in dynamically as products of the individual sub-formulae ECs, in cases where an explicit EC exists.
Finally, the example set was also tested in Mathematica. Mathematica's CAD command does not return cell counts - these were obtained upon request to a Mathematica developer. Hence they are not recreatable using the information here (something outside the control of the present authors).To run the Maple worksheet you will need a copy of the commercial computer algebra software Maple. This is currently available from http://www.maplesoft.com/products/maple/. The examples were run in Maple 16 (released Spring 2012). It is likely that the same results would be obtained in Maple 17, 18, 2015 and future versions, but this cannot be guaranteed.
An additional code package, developed at the University of Bath and included in this dataset as `ProjectionCAD.mpl`, is required.
If you do not have a copy of Maple you can still read the PDF printout of the worksheets.
Qepcad-B is a free piece of software for Linux which can be obtained from http://www.usna.edu/CS/qepcadweb/B/QEPCAD.html.Within the zipped directories Section1to7-Qepcad.zip and Section83-Qepcad.zip, all the files end in either "-in.txt" or "-out.txt". The former give input for Qepcad and the latter record output. Hence readers without access to Qepcad (e.g. on a Windows system) can still observe the output in the latter files.
Within the file Section82-ExampleSet.txt, the 29 examples are defined in the following syntax, used by the TTICAD algorithm that is the subject of the paper:
(a) First a line starting with "#" giving the full example name followed in brackets by the shortened name used in Table 2.
(b) Then a second line in which the example is defined as a list of two sublists:
(i) The first sublist defines the polynomials used. They are sorted into further lists, one for each formulae in the example. Each of these has two entries. The first is either a polynomial defining an equational constraint (EC); a list of polynomials defining multiple ECs; or an empty list (signalling no ECs). The second is a list of any non ECs.
(ii) The second sublist is the variable ordering from highest (eliminate first in projection) to lowest. Note that Maple algorithms use this order by Qepcad-B the reverse.
This text file doubles as a Maple function definition. When read into Maple the command GenerateInput is defined which can provide the input in formats suitable for the three Maple algorithms tested
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