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    Data for Reducing Nonlinear Limitations of Ytterbium Mode-Locked Fibre Lasers with Hollow-Core Negative Curvature Fibre

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    The data behind the four figures shown in the paper. Including example autocorrelation traces and pulse spectra for figure 2. The latter 2 datasets summarize the peak power results and single pulsed modelocking ranges for the laser cavities built as shown in figure 3.The autocorrelation traces were taken using a APE pulse check auto correlator. The output of the laser was amplified through an ytterbium doped gain fibre prior to autocorrelation to ensure clear signal. The spectral data was taken directly from the laser cavity output using a Yokogawa optical spectrum analyser. The modelocking and multi-pulsing thresholds as a function of pump power were determined by observation of oscilloscope behaviour, changes in spectral width and small changes in measured autocorrelation trace. Drift in the threshold positions due to environmental factors were measured over 1-2 days and the maximum drift observed was incorporated into the error bars. The peak power was calculated from the measured output average power, pulse duration, repetition rate and losses in output coupling stages from the cavity.Spectral data and autocorrelation traces were normalised for ease of comparison

    Minimizing group index variations in a multicore endoscope fiber

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    Data for results in "Minimizing group index variations in a multicore endoscope fiber" paper.The variation in group index was measured using a low coherence scanning Mach-Zehnder interferometer utilizing a fiber-based optical supercontinuum with a 10 nm band-pass filter centered at 800 nm as a low-coherence light source. The input and output ends of the sample fiber were translated with respect to the coupling lenses in order to study different cores while maintaining the path outside of the optical fiber constant

    Data set for CLEO paper "Double Pass Gain in Helium-Xenon Discharges in Hollow Optical Fibres at 3.5μm"

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    Data from Helium Xenon discharges in hollow core fibre, including electrical properties (current, voltages), output signal and spectraThe ends of the fibre were held inside a pair of gas cells for the evacuation and delivery of gas to the system, inside which a pair of electrodes were positioned near the fibre ends to deliver a DC high voltage of up to 40 kV with a variable current. The electrical characteristics were then measured using a multimeter. The anode gas cell featured a large calcium fluoride window perpendicular to the fibre, and the cathode had a sapphire window for the output signal. The fibre used had a hollow core inner diameter of approximately 120 μm, and a low loss guidance band from 3–4 μm (< 0:18 dB/m at 3:5 μm). The spectrometer (Bentham DTMc300) had a grating with 300 grooves/mm and a cryogenically cooled InSb detector for the range at 3–4 μm.The data was analysed using Microsoft Excel, and the final figures were plotted in Matlab

    Supporting data for "Ab initio thermodynamic model of Cu2ZnSnS4"

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    This dataset contains the supporting data and Python 2.7 code for the published article, "Ab initio thermodynamic model of Cu2ZnSnS4". This release covers the content of the initial publication in J. Mater. Chem. A (2014), with some minor bug fixes and data released by Jonathan Scragg. Re-released to make use of GitHub's new DOI integration with Zenodo.First-principles calculations within density functional theory (DFT), using the Fritz Haber Institute ab initio simulations package (FHI-aims) and the PBEsol DFT functional. Details given in paper.Analysis with original code using the typical scientific Python stack: Python 2.7, Numpy, Scipy and MatplotlibThis dataset corresponds to release v1.2a. The code initially released with the paper corresponds to the v1.0 tag in the GitHub repository

    Data for "A chemometric study of ageing in lead-based paints"

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    Raw data to accompany the results and discussion in the manuscript "A chemometric study of ageing in lead-based paints"

    Dataset for A new way of thinking about environmental building standards: developing and demonstrating a client-led zero-energy standard

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    There are over 70 low energy and carbon standards in use around the world. None of these standards have been designed by the clients who pay for and occupy the buildings in question. In this work the client was asked to define the building code via a structured survey. This approach was applied to the design and construction of a new 2 800 m2 building. The resulting zero-energy standard simply required the building to incur no energy utility bill. One year of monitoring of the completed building was used to see if the standard had been met. The result of this work is a new way of thinking about environmental building standards that solves many of the issues of obtaining and maintaining buy-in from the client.A client group was identified that was about to commission a low/zero energy/carbon building. The proposed building was a 450 pupil school. The client group where defined as the head teacher, 16 members of teaching staff, three members of non-teaching staff, five parents and six representatives of the local authority (who were paying for the construction of the building). The client group were given a lecture (approximately 30 minutes) on climate change and UK energy policy, and a lecture (also approximately 30 minutes) on zero and low energy building standards from around the world with terms such as embodied energy and emission factor being explained. The purpose of the lectures was to inform the group about the concepts and language surrounding energy, CO2 emissions and building standards, in order that they could meaningfully consider what a zero-energy building meant to them. They were then asked to complete a questionnaire designed to determine what they thought should and should not be used as criteria for the zero-energy/carbon standard used for the new building. Nineteen possible endings to the statement “the criteria for the definition of a zero-carbon building should…” were presented along with a scale allowing the respondent to indicate how strongly they agreed with the criteria. The five-point scale ranged from minus 2 (strongly disagree) to plus 2 (strongly agree) with 0 expressing neutrality. The final question asked the respondent to indicate what they thought was an appropriate balance period

    Net-demand duration data, with extensive heat pump adoption, simulated for UK

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    The dataset is the detailed results from simulation described in associated paper. Results are presented as the proportion of the duration of each simulation for which net-demand exceeds the each value (in 100MW bins).Details of the method used are available in the associated paper

    Cross-metathesis of microbial oils for the production of advanced biofuels and chemicals

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    A range of microbial oils were cross-metathesized with ethene using Hoveyda-Grubbs 2nd generation catalyst. The products formed from the microbial oils were compared to alternative first and second generation oils. Upon separation, three separate fractions were produced: an alkene hydrocarbon fraction or aviation fuel fraction (AFF), a shorter chain triglyceride fraction that upon transesterification was suitable as a road transport fuel (RTF) and a volatile short-chain alkene fraction (gas phase fraction, GPF). The fuel fractions were purified through distillation and compared to the relevant fuel standards. Though there was variation for the road transport fuel fraction due to the presence of long chain saturates, all the RTF produced fell within the ASTM standard for biodiesel. The AFF was found to be highly suitable for aviation, falling entirely within the DEF-STAN fuel standard. In addition the AFF possessed a higher energy density than Jet A-1 while 1-decene was found to have a higher oxidative stability than jet fuel. Finally, the GPF was found to predominantly contain propene, butene and pentadiene isomers, all of which have application in the polymer industry. With further development, this process could provide the basis for a microbial oil biorefinery for the production of sustainable biofuels and polymer precursors.The data in this archive was collected under standard laboratory conditions. Full details of the experimental methods used are available in the experimental section of the corresponding publication.The source information for the figures presented in the publication is presented in one excel sheet called 'Data'. The NMR spectra from the oxidation are grouped in the folder "1-decene oxidation", each spectra is in a separate file with the time of oxidation as the title. Specialist NMR software (such as TopSpin) will be needed to access the data from these files. The GC data is also given, in the folder labelled "GC-MS". The folders are labelled with their contents and files detailing the peaks and integrals can be read using any typical internet browser or excel. The data taken from these source files has also been grouped in excel files. Physical properties data is given in one excel spreadsheet labelled 'Physical Properties'

    ENLITEN card sorting data [for the paper "Householders' Mental Models of Domestic Energy Consumption: Using a Sort-and- Cluster Method to Identify Shared Concepts of Appliance Similarity"]

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    Two data sets containing the results of two card sorting tasks which aim to reveal mental models of home energy consumption and food items, alongside data sets which detail the participant’s demographic information is stored. Details of the data sets can be found in the card sort documentation file. The data has been written up as a paper and the manuscript submitted to PLOSone is attached. Further details of the nature of the study can be found in the Instructions and methodology document, details of the briefing, consent and debriefing procedure can be found in the materials documents for each task.See attached PDF documents for details of methodolog

    Supporting data for modelling of sulfur vapours

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    Supporting information for equilibrium modelling of sulfur vapours. Includes calculated frequencies, structure from evolutionary algorithm study and raw output from ab initio vibrational calculations.A range of structures is generated using the evolutionary algorithm implemented in the USPEX code, with energies evaluated using density functional theory. Raw data is provided from vibrational calculations with the FHI-aims quantum chemistry code, using LDA, PBEsol, B3LYP and PBE0 exchange-correlation functionals. Details are given in the accompanying academic paper, which is Open Access.This is raw data. Processing from this data was carried out using custom code, which is Open Source and available from https://github.com/WMD-Bath/sulfur-model or http://dx.doi.org/10.5281/zenodo.2853

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