1056 research outputs found
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Dataset supporting "Neutron diffraction study of indole solvation in deep eutectic systems of choline chloride, malic acid, and water"
This dataset includes neutron diffraction data from samples of indole in choline chloride:malic acid deep eutectic solvent in the presence and absence of water. The data has been processed using the program Gudrun to remove background scattering and instrumental effects, (creating .mint01 files) so it is ready for use in data fitting. The text files contain a header describing the name of the sample, the experimenters, and then three columns: Q (x-axis), differential scattering cross section (y-axis), error in intensity.Solutions of indole in choline chloride:malic acid deep eutectic solvent were prepared using h- or d-choline chloride, and h- or d-malic acid. The solutions were loaded into TiZr cuvettes, sealed and attached to the sample changer at 25C. Neutron scattering data was collected using the NIMROD instrument at the ISIS Neutron and Muon Source, UK. The raw neutron diffraction data files are available from the ISIS Neutron and Muon Source Data Journal under the title "Denitrogenation of fuel oils using hydrated choline chloride:malic acid DES".Raw data was processed to remove backgrounds and instrumental factors, to create the .mint01 files containing differential scattering cross-section against Q.The Gudrun software (https://www.isis.stfc.ac.uk/Pages/Gudrun.aspx) was used to process the data.The data are in three-column text files (x, y, error in y), with a 14 line header including sample and experimenter names
Dataset for "#DiabetesOnAPlate: the everyday deployment and contestation of diabetes stigma in an online setting"
People living with diabetes report that they are stigmatised and blamed for their condition, and that media are a primary source of stigmatic representations. Our analysis found that, consistent with the notion of diabetes as stigmatised, use of the hashtag #DiabetesOnAPlate on Instagram, was associated with indulgent eating and with posts that signalled recognition of this as a moral transgression. A subsequent on-line survey found that participants who did not have diabetes did not recognise a prototypical #DiabetesOnAPlate post as stigmatic. Whilst some of those with Type 1 and Type 2 diabetes did perceive and contest the stigma, Type 1 participants did so for their group (but not for Type 2); and there was evidence that some Type 2 participants internalised the stigma. These findings support concerns about the everyday, divisive nature of stigmatic representations of diabetes on social network sites, which may compromise health messaging and positive health behaviours.An on-line survey was used to collect the data. The full procedure is explained in the published article.Data has been anonymised.The data is in MS Excel spreadsheet format
Data supporting "Mix-and-match diols: Adjusting self-assembly of micellar phases in choline chloride eutectics"
The dataset contains SAXS and SANS data for the systems described in "Mix-and-match diols: Adjusting self-assembly of micellar phases in choline chloride eutectics" which has been corrected for instrumental parameters using standard procedures and had appropriate backgrounds subtracted. The datasets are shown as graphs in the paper, and were used in the fitting procedures described.Small-angle neutron scattering (SANS) measurements were performed at STFC ISIS Neutron & Muon Source, under beamtime allocation RB1620126, on the time-of-flight diffractometer Larmor operating in conventional SANS mode, at 50°C in 1mm thick quartz Hellma cells. Data were collected over a range of 0.004 Å-1 ≤ Q ≤ 0.9 Å-1, using neutrons of wavelength 1.5 nm ≤ lambda ≤ 17 nm and a detector distance of 4 m. Samples for SANS were prepared on-site, in a concentration series above the measured CMC of C12TAB in ethaline, 2, 5, 10, and 20 wt.% of C12TAB, in two contrast sets, fully-protiated C12TAB in [d9-ChCl][d6-EG]2, and d34-C12TAB in fully-protiated ChCl:EG. Data were reduced using the standard protocols of the beamline to procure the scattered intensity in absolute scale, I(Q), vs. the momentum transfer vector, Q.
Synchrotron small-angle X-ray scattering measurements were made on the instrument I22 at Diamond Light Source under beamtime allocation SM15194. Samples were placed into soda-glass capillaries with 10 µm wall thickness and path length of 1.5 mm. Operating at a power of 18 keV, SAXS measurements were taken using a Dectris Pilatus-2M detector over a Q-range of 0.007 Å-1 ≤ Q ≤ 0.6 Å-1. Samples were held at a temperature of 50°C to prevent crystallisation, using a water-recirculating brass block sample holder. Data were reduced using DAWN software and the standard protocols of the beamline to procure the scattered intensity in arbitrary scale, I(Q), vs. the momentum transfer vector, Q. Backgrounds, of which the most pertinent source was the Kapton beam window, were subtracted from the measured scattering to obtain reduced dataSANS data were reduced from the raw data using Mantid software using the standard beamline procedures on the Larmor instrument. SAXS data were reduced using DAWN software (Basham, M.; Filik, J.; Wharmby, M.T.; Chang, P.C.Y.; El Kassaby, B.; Gerring, M.; Aishima, J.; Levik, K.; Pulford, B.C.A.; Sikharulidze, I.; et al. Data Analysis WorkbeNch (DAWN). J. Synchrotron Radiat. 2015, 22, 853–858, doi:10.1107/S1600577515002283.) using the standard I22 beamline procedures.SANS data is given in text files (.txt) in three columns which are Q, intensity, uncertainty in intensity. SAXS data is given in text files (.txt) in 6 columns which are Q, intensity, uncertainty in intensity, uncertainty in Q (set to 0 here), and two columns for slit smearing parameters which were not used in this work (thus the 5th column replicates values in column 1 and the last column is set to 1
Dataset for "Reflected Impedanceometry: A Contact-Free Technique for Measuring Induced Magnetic Hysteresis and Eddy Current Heating"
The dataset consists of both experimentally gathered measurements of the rate of heating of materials within radiofrequency electromagnetic radiation and also data produced by modelling of this phenomenon. The data would be sufficient for other researchers to build their own models that could be compared to ours. The data is structured in a spreadsheet format with one tab per figure from the paper for figures 3, 5 & 6.The methodology for this novel technique is given comprehensively in the associated paper and supplementary materials.The data is given in MS Excel spreadsheet format with one tab for figure from the paper for figures 3, 5 & 6
Data set for "Surfactant Effects on the Synthesis of Porous Cerium Oxide from a Type IV Deep Eutectic Solvent"
This dataset relates to a novel, low temperature and green method for atom-efficient solvothermal synthesis of crystalline, micelle templated cerium IV oxide (ceria) from a type IV deep eutectic solvent (DES) comprising a hydrated cerium containing metal salt, cerium(iii) nitrate hexahydrate (Ce(NO₃)₃·6H₂O), and a hydrogen bond donor, urea, in a molar ratio of 1:3.5. We have used high concentration (20% w/w) solutions of C-12 and C-16 alkyl chain length cationic surfactants (CₙTAB and CₙTANO₃) and C-16 alkyl chain length non-ionic surfactant BrijC₁₀ in the DES to alter the porosity of the cerium oxide produced. The characterisation of the cerium oxide has been carried out using scanning and transmission electron microscopy (SEM/TEM), N₂ sorption, Small Angle X-ray Scattering (SAXS) and temperature programmed reduction (TPR) to understand and quantify the nature of the crystallinity, morphology and porosity along with CO oxidation for the catalytic activity of the material.
Included in the dataset are the X-ray diffraction (XRD), SAXS, N₂ sorption, SEM Energy Dispersive X-Ray Analysis (EDX), X-ray photoelectron (XPS) and CO oxidation characterization data for these materials.Full details of the methodology can be found in the Materials and Methods section of the associated paper.Each ZIP file contains an MS Excel spreadsheet that provides details of the samples identified by number in the data file names. In "SAXS_paper.zip", the .dat files are comma-separated value (CSV) plain text files. In "XRD paper.zip", the .raw files are STOE RAW Powder X-ray diffraction files (from a STOE STADI P instrument) and the .xyd files are fixed-width field plain text files
Dataset for "ACute3D: A compact, cost-effective, 3D printed laser autocollimator"
This data archive is for the Acute3D, a 3D printed, open source, laser autocollimator. The hardware design is provided in the form of parametric CAD files to make the autocollimator convenient to customise and integrate into larger instruments. Assembly instructions on building the Acute3D can be found alongside the hardware design. The software that drives the autocollimator is provided in the form of Python scripts to allow immediate use of the device and data replication.
The performance of the autocollimator was characterised through a series of experiments. This archive contains the data and analysis Jupyter notebook for all experiments performed in this project. The code for data collection is embedded in the software. A folder of example frames captured by the autocollimator during operation is also provided.The performance of the autocollimator was characterised through a series of experiments. We organised the data and analysis code by experiment and added a README file in each folder. The README file explains the aim of the experiment, equipment used in the setup, method, and the structure of the data. Unless specified, the experiments were carried out in ambient conditions without thermal stabilisation.Software environment:
Raspberry Pi 3
Python 3
See requirements.txt in ACute3D_software.zip for more details
The data files can be viewed using text editors such as Notepad or Python packages such as Panda
Dataset for "Augmented screwdrivers can increase the performance of orthopaedic surgeons compared with use of normal screwdrivers"
This dataset presents the screw tightness achieved for each screw insertion with either a normal or augmented screwdriver, presented as a raw torque and as a percentage of the stripping torque. The reported confidence in the purchase of each screw is included in the dataset.Surgeons were instructed to wear non-sterile gloves before sequentially tightening non-locking, 3.5 mm self-tapping, cortical screws into the artificial bone sheets in a vertical orientation in two testing phases (Figure 2 in the associated paper). All screws had been pre-inserted through 10-hole limited contact dynamic compression plates (LC-DCP) (Synthes, Zuchwil, Switzerland), with the screws remaining 3 to 5 mm from the plate surface. Previous studies by Fletcher et al. have identified that no more than ten screw insertions are needed to characterise a surgeon’s technique. A torque measuring screwdriver (Premier STS103 [Jack Sealey LTD., Bury St. Edmunds, UK]) was used for all screw tightening. Participants were asked to insert each screw to what they determined to be the optimum tightness for that screw. The screwdriver displayed the applied torque via a digital reading which was recorded by researchers; participants were blinded to these values. At a separate episode, a researcher calculated the surgeon’s achieved tightness by creating a ratio between the torque chosen by the surgeon (stopping torque) and the maximum torque the screw hole could receive (stripping torque). If the stopping torque was found to have been greater than the stripping torque, the insertion was defined as having been stripped by the surgeon. Following each screw insertion, participants rated the achieve purchase from 1-10 (1 being very poor and 10 being optimal). They also reported whether they felt the screw hole had been stripped – yes or no.
For Phase 2, 10 screws were tightened in exactly the same fashion except that the same screwdriver was set to beep and vibrate when a predetermined theoretical optimum torque value was achieved: 0.105 Nm. This value, defined as optimum tightness, was calculated to be 70% of the average stripping torque for 3.5 mm screws in 2.5 mm screw holes in the 4 mm thick artificial bone sheets, established as 0.15 Nm from pilot testing. The instructions for inserting screws in Phase 2 were to stop inserting when the optimum tightness was indicated by the screwdriver. Again, confidence (1-10) in the screw purchase and the surgeon’s assessment of whether the screw hole had been stripped were recorded
Dataset for "Stack, seal, evacuate, draw: A method for drawing hollow-core fiber stacks under positive and negative pressure"
Raw images showing the stacks, canes and fibres that were manufactured using the novel fabrication techniques discussed in "Stack, seal, evacuate, draw: A method for drawing hollow-core fiber stacks under positive and negative pressure"
Excel file containing measurements of the geometry of the IR fibre discussed in the paper.Images: SEM microscopy, optical microscopy, photography.
Measurements of fibre geometry: measurements made using ImageJ software on SEM images of the fibre.Images are in TIFF or JPEG format.
Optical microscopy performed using a Nikon eclipse ME600 microscope and captured/saved using IC measure 2.0.0.286 image software
A cross-sectional online survey of the impact of new tobacco health warnings in Colombia
This was an online cross-sectional survey that examined the rate of market saturation and the noticeability of new Colombian tobacco warnings among smokers over the implementation period in Colombia (Wave 1 – pre-implementation, Wave 2 – 12 months post-implementation). We also explored smokers’ negative affect towards warnings, cognitions related to smoking, knowledge regarding health risks of smoking, perceived severity and likelihood of harm from smoking and quit intentions across the survey waves and responses to each of the new warnings in terms of negative affect, believability, cognitions related to harm, avoidance, reactance and perceived message effectiveness.Data were collected via the online survey platform Qualtrics. Adult smokers (defined as ≥ 18 years of age and having smoked at least 100 cigarettes in their lifetime and currently smoking at least one cigarette per week) were recruited from the staff and students at the Universidad Nacional de Colombia and from the general public. The research team used existing mailing lists to contact members of the university across eight cities in Colombia and attended student classes to encourage students to complete the surveys. We recruited participants from the general population through social media, word of mouth and posters in public spaces.
Data were collected at Time 1, prior to the introduction of the new health warnings in Colombia in 2018 (n=1985, 72% male), and at Time 2, twelve-months post-introduction (n=1572, 69% male).
During data collection participants were first shown an information statement before completing a tick-box consent page. All text and questions were presented in Spanish. Participants completed screening questions and those who were ineligible were taken to the end of the study. Eligible participants completed demographic questions, responses to warnings on packs, knowledge of health risks and attitudes towards smoking. An attention check item was included in this section (Please select the strongly agree option to let us know that you read all of the survey instructions). Each of the six new warnings were presented individually on screen in a randomised order, and participants completed questions about each warning. After reading a debriefing page, participants who wished to be entered into the prize draw were directed to a second survey. Participants who participated in the first time were re-contacted at the second time to ask if they would like to participate again.Data were collected using the online survey platform Qualtrics https://www.qualtrics.com
Data analysis was conducted using IBM SPSS Statistics 22.Each variable is titled and labelled in the SPSS datasheet.
In order to examine market spread of new warnings over the implementation period we calculated percentages of participants in the two times who reported being aware of seeing each of the six new warnings.
The internal consistency of the latent constructs (e.g. negative affect, cognitive elaboration) were assessed using Cronbach’s alpha. All latent constructs achieved acceptable to good internal consistency and latent variables were calculated by taking a mean of the individual items (see Supplementary Materials - Table 2)
Dataset for "Developing non-exercise activity thermogenesis (NEAT) through building design"
This data is associated with the research study "Developing non-exercise activity thermogenesis (NEAT) through building design", carried out to assess the relationships between physical activity and building design for 75 buildings in the Greater Jakarta region, Indonesia. It includes the survey used to collect the data (Appendix A), the responses collected from the survey (Appendix B), and subsequent analysis carried out on the survey data to generate a set of scores for the buildings.
The data has been anonymised, so no identifying information about individuals or buildings can be found within this dataset.The surveyed buildings were in the Greater Jakarta Metropolitan Area (Jabodetabek). The sample was focused on – but not restricted to – office buildings. It was aimed to get responses from a range of building heights, from low to high rise. The survey was distributed by sending to people known to the authors. Surveys were completed by one respondent on behalf of all building users. 75 complete responses were received.
An introduction to the data is given on the cover page of Appendix B and Appendix C. The survey response data (Appendix B) is ordered in the same order as the questions in the survey. The buildings score data (Appendix C) is calculated according to the procedure explained in the associated manuscript.The survey responses data was anonymised before publication, to remove all identifying information of individuals and buildings