1056 research outputs found
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Dataset for "Thermal resilience of ensilicated lysozyme via calorimetric and in vivo analysis"
No full textThis dataset contains a variety of data formats used to characterise the thermal resilience of ensilicated lysozyme. All raw data formats have been converted to *.csv or similar Excel format, which is editable. MATLAB is used to generate all graphs and files have been included in each folder where applicable.
Specifically, data were generated using analytical methods such a differential scanning calorimetry, circular dichroism spectroscopy, enzyme-linked immunosorbent assay (ELISA) and thermogravimetric analysis. Data is sorted based on the figure order described in the article, including supplementary figures. Each folder contains a brief explanation on the contents.Figure 1 - Field-Emission Scanning Electron Microscopy (FE-SEM) - samples were desiccated overnight before imaging and place on sticky carbon tape and imaged at various resolutions. Chromium was used to spin coat the samples.
Figure 2 - Micro Differential Scanning Calorimetry (µDSC) and Thermogravimetric analysis (TGA) coupled with Differential Thermal Analysis (DTA) and Mass Spectrometry (MS) or TGA-DTA-MS - liquid samples were analysed using the µDSC apparatus. Ensilicated and lyophilised material was analysed using TGA-DTA-MS. Measurement output was in weight loss (mg, milligram), heat flow (µDSC, DTA) and ion count (A, ampere).
Figure 3 - Enzcheck (trademark) Lysozyme assay kit (ThermoFisher) - samples catalytic activity compared to standard protein with validated activity in units(U)/ml. Substrate conversion measured using UV-vis. Data output in arbitrary format converted to U/ml.
Figure 4 - Enzyme Linked Immunosorbent Assay (ELISA) - Serum IgG responses to coated antigen measured by substrate conversion using UV-vis and normalised using reference antibody.MATLAB r2015b used for graphical presentation. Excel used for processing data and Calisto software (Setsys) used for exporting DSC/DTA data
Dataset for "Variations in non-locking screw insertion conditions generate unpredictable changes to achieved fixation tightness and stripping rates"
Get PDFThis dataset contains the tightness, as a percentage of the maximum, for the insertion of 3.5 mm stainless steel screws for the different parameters tested, or if the screw hole was stripped on insertion, the tightness is recorded as 'stripped'.Insertion torque measured with torque measuring screwdriver. Stripping torque measured with same device, and the insertion:stripping torque ratio calculated
Shelter Assessment Matrix (SAM)
No full textSAM is a shelter design assessment tool. It lists the issues we have identified from our field works and, where possible, provides guidance in the form of a tool, a short PDF or a pointer to a report or academic paper. This guidance will be particularly useful if you are new to the shelter, or to a topic, for example, ventilation. It scores a shelter in terms of a series of 9 design criteria, for example, privacy. Each design criteria is broken down into sub-issues for you to judge a shelter by. The separate design criteria scores are not than combined into an overall score for a shelter. This is because the criticality of any criteria will be context-dependent, however, it does allow a series of shelters to be compared issue by issue and for design or tender teams to see where a shelter is particularly strong or weak with respect to these issues. SAM can be used for the following tasks:
1. Education and overview of the issues. Shelter designers, particularly those relatively new to the topic, will hopefully find that by reading the list of "sub-issues" on each sheet they might become aware of things they might not have considered.
2. Shelter designers can score their design (if built-in one location), and hence see where it can be improved.
3. Thinking about where a solution is suitable, and where not. This might be to do with thermal comfort for example or cultural considerations.
4. Compiling a list of shelter requirements or a tender document. In this case, you might want to ignore some of the "sub-issues" or adjust them, or the scoring philosophy, to meet local conditions. For example, the maximum cost of a shelter you are willing to consider.
5. Assessing or comparing a group of shelters (in one location), or tenders.
6. Determining where the shelters in a camp need effort spent on them, or where the issues are, or what can be learnt from a SAM analysis of the pre-existing accommodation in a camp.For best results, the tool should be opened in MS Excel 2016+ on Windows.For information on how to use the tool, please consult the README sheet it contains
UK Pension Reforms: Implementation (2010-2015)
No full textThis dataset contains video content created and documents collected by the Institute for Policy Research at the University of Bath for the research project ‘Pension Reforms in the UK’, funded by the National Employment Savings Trust (Nest) Insight.
The videos in this collection relate primarily to the implementation of enacted pension reforms between 2010 and 2015
Interview with Lord Adair Turner
No full textLord Adair Turner, the chair of the Pensions Commission reflects on the Commission's remit, consensus-building, and recommendations within the political economy of the UK
Research materials for "Factors contributing to the experience of shame and shame management: Adverse childhood experiences, peer acceptance, and attachment styles"
Get PDFPrevious research has firmly established that some individuals experience shame more frequently than others. This set of research materials includes questionnaires from a study that employed a cross-sectional design to explore factors that are related to the experience of shame. In this study, 240 participants completed self-reported assessments of parental care and expectations, maternal attitudes towards negative emotions, peer acceptance during childhood, attachment styles, and shame management.The methodology used in this study is reported in full in the methods section of the associated paper
Temporal Climate Impacts
No full textSpreadsheet to facilitate the calculation of time-dependent Absolute Global Warming Potential and Absolute Global Temperature Potential due to a temporally resolved (year by year) emissions inventory (CO2, CH4, N2O). Examples and instructions are included within the spreadsheet. The spreadsheet is intended to be a tool for LCA practitioners to quickly assess whether temporal aspects of GHG results are relevant and should be reported upon.Equations and parameters consistent with IPCC AR5 (Physical science basis) used
Myhre, G., D. Shindell, F.-M. Bréon, W. Collins, J. Fuglestvedt, J. Huang, D. Koch, J.-F. Lamarque, D. Lee, B. Mendoza, T. Nakajima, A. Robock, G. Stephens, T. Takemura and H. Zhang, 2013: Anthropogenic and Natural Radiative Forcing. In: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Stocker, T.F., D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex and P.M. Midgley (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.MS Exce
Dataset for "Polymer nanotube membranes synthesized via liquid deposition in anodic alumina"
No full textThis dataset includes the following raw data for the polymer nanotube membranes in the study - Roughness data, Field Emission Scanning Electron Microscopy (FESEM) data, Transmission Electron Microscopy (TEM) data, Water Flow Enhancement and Permeance Data, and Contact Angle Data. These correspond to the following elements in the associated article "Polymer nanotube membranes synthesized via liquid deposition in anodic alumina":
- Roughness data (Table 1 in the main manuscript);
- FESEM data (Figure 2 and Figure 4 of the manuscript);
- TEM data (Figure 3 of the manuscript);
- Water Flow Enhancement and Permeance Data (Figure 5 and Table 1 of the manuscript);
- Contact Angle Data (Table 1 of the manuscript).A complete description of the experimental methodology for the acquisition of this data is reported in the related manuscript and Electronic Supplementary Information (ESI).Gwyddion version 2.49 (http://gwyddion.net/) was used for AFM data processing; this software may be used to view the .000 and .001 files
Dataset for "A multi-variable study of factors affecting the complex resistivity of conductive mortar"
No full textData collected as part of a study into mortar conductivity. Consists of impedance data organised by mix and date, taken using an Agilent E4990A. Some physical information about the mixes is included since it was recorded at the same time. An included README file gives more details.From the associated paper:
"Measurements were taken using an Agilent E4990A impedance analyser. Each mortar cube was removed from the water and surface dried using a cloth before measurements were taken. At this point the length of the cube was verified to reduce the risk of mistaken identity. Surface temperature was not controlled when out of the water, but was recorded before measurement. The surface temperatures range from 16 to 24C with the average being 20C. These temperatures were not used in the analysis but are included in the online data for the study.
Measurements were taken at 7, 14, 21, 28, and 35 days after casting the mortar. Stainless steel electrodes were clamped to the cubes and connected to the impedance analyser using the four-terminal pair probe configuration described by the Keysight Technologies impedance measurement handbook section 3.1.4. The initial set of measurements was taken at 200 frequencies within the 20Hz-20MHz range, using a linear frequency sweep. For subsequent measurements the scheme was changed to use 1000 frequencies in a logarithmic sweep to better represent the response at lower frequencies. Measurements about 10MHz were found to be significantly affected by the measurement probes in use. These were discarded."No novel techniques have been used in the acquisition or processing of the data.Data taken using an Agilent/Keysight (the device is labelled Agilent but is now sold by Keysight Technologies) E4990A. All data is in .CSV (comma delineated) format
Dataset for "Alkali activation behaviour of un-calcined montmorillonite and illite clay minerals"
No full textChemical characterisation data describing the precursors and cured products formed when reacting montmorillonite and illite clay precursors with sodium hydroxide solution at Na:Al molar ratios of 0-1.5 and 0-0.75.
Version 2 includes additional data for the mass spectrometry results.Fig 1; Fig A2 - Atterberg plastic limit measurements were taken over a range of sodium hydroxide solution concentrations, based on BS 1377-2:1990.
Fig 2; Fig 3; Fig 4; Fig A1; Fig A3 - Powder X-ray diffraction (PXRD) analysis was done to identify phases with a Bruker D8 Advance instrument using monochromatic CuKalpha1 L3 (λ = 1.540598 Å) X-radiation and a Vantec superspeed detector. A step size of 0.016⁰(2θ) and step duration of 0.3 seconds were used.
Fig 7; Fig 8; Fig A5; - Thermogravimetric analysis (TGA) was done to characterise thermal behaviour, using a Setaram Setsys Evolution TGA over a range of 30 to 1000 °C at a heating rate of 10 °C/minute. An air atmosphere was used, with a flow rate of 20 ml/minute. A connected mass spectrometer was used (Pfeiffer Omni) to identify whether evolved gas species contained OH, H2O, CO or CO2.
Fig 9; Fig 10 - Magic angle spinning (MAS) nuclear magnetic resonance (NMR) spectra were measured for 27Al and 29Si to characterise coordination states, using a Varian VNMRS in direct excitation. Standards used were 1M aq. Al(NO3)3 for 27Al and tetramethylsilane for 29Si. Spin rates used were 12 kHz for 27Al and 6 kHz for 29Si, and frequencies used were 104.199 kHz for 27Al and 79.435 MHz for 29Si. Sample holders were 4mm width for 27Al and 6mm width for 29Si.
Fig 11; Fig A6 - Fourier Transform Infrared Spectroscopy (FTIR) was done to characterise molecular bonding, using a Perkin-Elmer Frontier with a diamond Attenuated Total Reflectance (ATR) head. Spectra were collected over a range of 4000-600 cm-1 using a resolution of 4cm-1 and 5 scans per spectrum.Fig 2; Fig 3; Fig 4; Fig A1; Fig A3 - Patterns were corrected for sample height shift by calibrating to the most intense quartz reflection (101) at 26.6 °(2θ).
Fig 3 - Le Bail extractions and Rietveld refinements of the structure were performed using JANA 2006 to extract the background signal.
Fig 11; Fig A6 - Corrections were made for ATR and background using Perkin-Elmer Spectrum software
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