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Dataset for "Fluorescent Styrene Maleic Acid Copolymers to Facilitate Membrane Protein Studies in Lipid Nanodiscs"
No full textThe purpose for obtaining this data was to characterise fluorescent styrene maleic acid copolymers synthesised via RAFT copolymerisation with styrene-analogous fluorophores. Copolymer behaviours were minimally affected and were able to spontaneously form lipid nanodiscs (SMALPs) upon incubation with DMPC vesicles. The potential usefulness of these novel copolymers to membrane protein (MP) research was also assessed. FRET was found to occur between the copolymer annulus and an encapsulated model MP, gramicidin, indicative of proximity. Further, aggregation caused quenching phenomena were used to monitor the transition from aggregated copolymer to nanodisc annulus during SMALP self assembly. Here, both the raw and processed data used in the publication are presented as .xls, .txt, and .pdf files, as indexed in the dataset.Data collection methods are described in full in the publication "Fluorescent Styrene Maleic Acid Copolymers to Facilitate Membrane Protein Studies in Lipid Nanodiscs".
Briefly, various copolymers were prepared by RAFT polymerisation. These were characterised by 1H NMR, 13C NMR, GPC and fluorescence spectroscopy. Subsequently the copolymers were introduced to DMPC vesicles, both with and without the model membrane protein, gramicidin (1.65% wt. SMA with 0.55% wt. DMPC [0.04% wt. gramicidin] in 50 mM PBS, 200 mM NaCl, pH=8.0). Here, turbid vesicle suspensions spontaneously cleared, indicating the successful formation of nanodiscs. Nanodiscs samples were characterised by DLS and SAXS, and their fluorescent behaviour captured through fluorescence spectroscopy.
RAFT Copolymerisation:
Briefly, styrene, maleic anhydride, AIBN, DDMAT, and the appropriate fluorophore in the ratios indicated, were dissolved in 1,4-dioxane before oxygen was purged using nitrogen and three freeze-pump-thaw cycles. Reactions were heated to 60 oC for 24 hours and subsequently precipitated from diethyl ether, before drying.
Hydrolysis of SMAnh to SMA:
Styrene maleic anhydride (SMAnh) was hydrolysed to styrene maleic acid (SMA) under basic reflux conditions. Typically, a 10% wt./vol. copolymer solution was prepared in 1 M NaOH (aq) and heated under reflux for 2 hours. The solution was then acidified to pH=3.0 using 4 M HCl, and centrifuged at 8000 rpm using an Eppendorf 5804R centrifuge for 15 minutes at 21 oC. The supernatant was removed and the copolymer pellet washed with ultrapure water and again recovered by centrifugation. The procedure was repeated a further three times. The pellet was then dissolved in 0.6 M NaOH before repeating the precipitation and washing procedure. The final precipitate was then dissolved in a minimal amount of 0.6 M NaOH and adjusted to pH=8.0 before freeze drying (Virtis SP Scientific) for a minimum of 24 hours.1H and 13C NMR:
Spectra were analysed using Mestrelab MNova 11.0 software where spectra were baseline corrected and line broadening routinely used to allow accurate integration of peak area.
GPC:
Chromatograms were analysed in Agilent GPC/SEC software to extract Mn and PDI values.
SAXS:
SAXS data were reduced using Foxtrot. The data were fit to parameters using a core shell bicelle model (combined with a cylindrical aggregate model where indicated) within SASview software.FTIR:
FTIR measurements were conducted on a Perkin Elmer ATR desktop spectrometer with solid-state polymer samples at room temperature.
1H & 13C NMR:
1H and 13C NMR spectra were recorded on an Agilent 500 MHz spectrometer at room temperature using d6-acetone (for anhydride species) or D2O (for acid species) as the solvent.
GPC:
GPC was conducted using an Agilent GPC 1260 Infinity chromatograph using two PLgel 5μM MIXED-D 30 cm x 7.5 mm columns with a guard column PLgel 5 μm MIXED Guard 50 x 7.5 mm. The column oven was maintained at 35 °C, with GPC-grade THF as the eluent at a flow rate of 1.00 mL/min and refractive index detection and polymer concentrations between 1.0 – 2.0 mg/mL. The system was calibrated against 12 narrow molecular weight polystyrene standards with a range of Mw from 1050 Da to 2650 kDa.
DLS:
DLS was conducted using a Malvern Zetasizer Nanoseries at theta = 173 degrees (backscattering) and wavelength = 633 nm.
SAXS:
SAXS data were collected in vacuo on a Xenocs NanoInXider instrument using a CuK(alpha) X-ray tube source with samples sealed in 1 mm borosilicate glass capillary tubes.
Fluorometry:
All measurements were taken using an Agilent Cary Eclipse Fluorescence Spectrometer (slit width = 5 nm) with quartz cuvettes.Details of the data and labelling is available in the README.txt file
Dataset for "Climate anxiety in children and young people and their beliefs about government responses to climate change: a global survey"
Get PDFThe dataset is of 10,000 participants, aged 16–25 years and is fully anonymised. It includes data from 1,000 people in each of 10 countries: Australia, Brazil, Finland, France, India, Nigeria, Philippines, Portugal, the UK, and the USA. Quota sampling was used, based on age, gender, and region. Because quota sampling did not lead to complete representativeness by country, collected data were weighted based on statistics from the Organisation for Economic Co-operation and Development for each country by age group, gender, and region. The survey completed includes questions about climate anxiety – worry, impaired functioning, emotions, thoughts, and experiences of being dismissed or ignored. There are also responses relating to thoughts and emotions about government inaction on climate change.
The dataset is stored in the format used by statistical programme SPSS.Young people aged 16–25 were recruited via the professional online participant recruitment platform Kantar. The Kantar Profiles Network provides automated access to first-party data compliantly, with speed and at scale, with over 100 million research-ready respondents across the world.
This survey gathered samples of 16–25 year-olds, from countries across the world, as such it is aiming to recruit 1000 participants from 10 different countries (10,000) from the Global North and Global South. These countries were: UK, Finland, France, Brazil, Portugal, US, India, Australia, Nigeria, Philippines.
The poll and information was translated into the relevant languages by translators working within the funding organisation (Avaaz).
Participants had to be aged 16–25, be a participant of Kantar polling company (which indicates that they have already provided full, informed consent to take part in any polls distributed by Kantar). Kantar targeted the recruitment so that only people meeting this criteria will be invited and able to take part.
Informed consent was already been gained by Kantar. Participants are already signed up with Kantar and have already agreed to take part in all surveys shared by Kantar. As part of this, all participants had already agreed to a data privacy contract with “Kantar Profiles” using their guidelines. According to GDPR, appropriate data protection measures are in place, and all participants had already consented to take part in surveys distributed by Kantar. Their comprehensive privacy policy is here: https://www.lifepointspanel.com/privacy. As such, no additional ‘consent process’ was required within the poll.
Please note, all data provided from Kantar to the University of Bath was fully anonymous and there was be no risk of identification of participants at any point.No changes were made to the dataset provided by Kantar prior to analysis. Kantar used quota sampling, based on age, gender, and region. Because quota sampling did not lead to complete representativeness by country, collected data were weighted based on statistics from the Organisation for Economic Co-operation and Development for each country by age group, gender, and region. This weighting was done by Kantar prior to receiving the dataset, and this weighted data was reported in publications from this study.Data was analysed in SPSS as provided here.Data is organised and encoded in line with the ordering of the survey as identified in the supplementary material of the published paper. The coding is documented in the 'Variables' page of the SPSS document
Dataset for Quantifying and characterising tobacco content in the most in-demand streamed series in 10 low/middle-income Countries in 2019
No full textData from the quantitative and qualitative coding of streamed series content.
Tobacco depictions and their characterisations across 18 series available on streaming services Netflix, Hulu and AmazonVideo from 2019.Any depiction of tobacco was counted and logged by trained coders in accordance with the coding protocol outlined in the associated paper. Demographic information relating to the actors using tobacco was recorded by coders, according to their own judgement. Contextual information about the environment of tobacco use/depiction is also recorded on hard-copy coding sheets.
Data was recorded to hard-copy sheets and compiled in SPSS on completion of data collection.
SPSS records tobacco depiction data by episode.Data is stored in SPSS. Was analysed in version 22
Dataset for Continuous Production of Cellulose Microbeads by Rotary Jet Atomization
Get PDFContinuous Production of Cellulose Microbeads by Rotary Jet Atomization. Data which concerns the production of cellulose microbeads using ionic liquids, co-solvents and jet breakup. This data reports on the continuous fabrication of cellulose microbeads in the size range 20-500 μm with narrow size distribution, via rotary jet atomization. Utilizing Rayleigh breakup as a method of droplet generation, jets of cellulose dissolved in solutions of [EMIm][OAc] and DMSO are expelled from rotating nozzle systems, generating droplets which, when captured in a suitable anti-solvent bath, initiate phase-inversion allowing regeneration of the cellulose into beads. The dataset includes calculations of dimensionless parameters as well as droplet sizes and distributions.This data was gathered using particle size analysis (Mastersizer 3000). Beads were produced using cellulose dissolved in ionic liquids, and subjected to pressure and rotational atomization. Further details may be found in the associated paper
Dataset for daily weather data (2017-2020) measured in Caldicot, Wales
No full textDaily weather data measured in Caldicot, Wales from January 2017 to March 2020. The weather data was collected using a WS-GP1 weather station supplied by Delta-T Devices Ltd, Cambridge, UK. The data were collected to provide potential evaporative drying and rainfall for (i) a wall capillary uptake model and (ii) a soil water balance model. The measurements include daily maximum temperature (°C), minimum temperature (°C), maximum relative humidity (%), minimum relative humidity (%), wind speed (m/s), rainfall (mm) and radiation (kw/m2).The weather data were collected using a WS-GP1 weather station supplied by Delta-T Devices Ltd, Cambridge, UK. The data were collected at hourly intervals and converted to daily values; they include daily maximum temperature (°C), minimum temperature (°C), maximum relative humidity (%), minimum relative humidity (%), wind speed (m/s) and radiation (kW/m2).MS Excel was used to arrange and process the data
Dataset for "Modelling intramuscular drug fate in vitro with tissue-relevant biomimetic hydrogels"
No full textThe data covers the two areas addressed in the manuscript text:
1. Rheology of hydrogels formed from bovine type-1 collagen (Col1) with/without hyaluronic acid (HA) supplementation. This data addressed a) what were the viscoelastic properties of Col1 hydrogels and b) whether HA supplementation affected these properties in any way.
2. 96-well plate fluorescence data describing the cumulative release of GFP from the hydrogel environments into the acceptor phase. Analysis of samples taken at defined time points from the SIMI created 24-hr pharmacokinetic profiles, to visualise cumulative release over the experimental time period.Rheology:
Conducted with a Discovery HR-3 Hybrid Rheometer and Trios software (TA Instruments, DE, USA). A 40 mm Peltier steel plate was used in a parallel plate setup with a gap of 500 μm. 1.5 mL hydrogels were used for investigations. All experiments were conducted at plate temperatures of 37 oC. Each assessment was composed of three individual analyses. Oscillation frequency analysis was conducted at 0.5% strain, 0.1 – 100 rad/s. Oscillation amplitude analysis was conducted using an angular frequency of 6.28319 rad/s, with a strain range of 0.01 – 50%. Flow analysis was conducted over an increasing shear rate of 0.01 to 100 1/s with a 5s equilibration time and 30s averaging time.
GFP quantification:
100 μL acceptor-phase buffer duplicates (from GFP SIMI assays) were added to black plastic 96 well Nunclon Delta plates (Thermo #137101). The samples were measured for fluorescence intensity with a FLUOstar Omega plate reader using Omega control and data analysis software (BMG Labtech). The excitation wavelength was set at 480 nm, and the emission wavelength set at 520 nm
Dataset for "Comparing posttraumatic growth in mothers after stillbirth or early miscarriage"
No full textThis dataset contains quantitative data from an online self-report, online questionnaire-based research project into the experience of posttraumatic growth in women who lost a baby by Early Miscarriage or Still Birth. Variables relating to Posttraumatic growth are included alongside demographic variables and variables relating to psychological distress, including depression, anxiety and PTSD.Anonymous online questionnaire-based data collection. The research project was advertised via social media and with charities dedicated to supporting women following the death of their baby during pregnancy. Two groups were identified: women who had experienced an Early Miscarriage and women who had experienced a Still Birth.Questionnaires were completed using the Bristol Online Surveys platform. The dataset is archived as a .sav file, viewable in IBM SPSS, with variable labels/descriptions readable in the Variable View tab
Dataset for "Low electronic conductivity of Li₇La₃Zr₂O₁₂ solid electrolytes from first principles"
No full textThis dataset contains the computational data and analysis for the paper "Low electronic conductivity of Li₇La₃Zr₂O₁₂ solid electrolytes from first principles". It includes input and output files for the DFT calculations, performed using VASP, and lightweight analysis scripts used to produce CSV files used to plot the figures in the associated publication.All data included in this dataset has been generated using the VASP DFT code. The methodology can be found in the associated paper
Dataset for "Parametric conversion via second harmonic generation and two-hump solitons in phase-matched microresonators"
No full textThe present dataset includes all figures (.fig and .png versions) represented in the "Parametric conversion via second harmonic generation and two-hump solitons in phase-matched microresonators" paper and the data used there. The most valuable part of the dataset is dynamics simulation described in the paper, showing the appearance of Turing-pattern-like states and solitons in the chi2 microring resonator.Full details of the methodology may be found in the section II 'Model' of the associated paper.All simulations were performed with MATLAB software. Simulation parameters could be found in the section I of the associated paper
Dataset for “The week that will be: communicating climate change and the impact of climate change via extreme weeks”
Get PDFThe data set contain localized current and future heat waves for use in thermal modelling of buildings across the UK. The weather data is in the format of EnergyPlus Weather (.epw) which was developed for building simulation programs. The building simulation weather file contains 8,760 hours of all the thermally related weather variables such as dry-bulb temperature, dewpoint temperature, relative humidity, atmospheric pressure, direct and diffuse solar radiation, wind direction and speed. The weather file contains an Example Extreme Week (EEW), i.e., weather data from an extremely hot seven-day contiguous period. The initial date of the EEW is mentioned in the comment line of the weather file. The weather files are available for current and future time slices: 1970s (1961 to 1990) and 2080s (2079 to 2099) with three return periods (10, 20 and 50 years) and one baseline period. Hence, there are six extreme weather files and one baseline weather file in each subfolder. These weather files are available at a 5 km grid resolution across the UK. In total, there are 11326 grid locations aggregated into three zip files: TYPE_J01 (3,775 grids), TYPE_J02 (3,775 grids), and TYPE_J03 (3,776 grids). The grid number, latitude, longitude and elevation for each of 11326 grid locations can be found in ‘GridID_Lat_Long_Elev.csv’.The Spatial Urban Weather Generator (SUWG) developed by Newcastle University was used to produce hourly weather data at a 5 km resolution across the UK for the control period (1970s: 1961 to 1990) and future period (2080s: 2079 to 2099) under medium emission scenario (SRES A1B). We ran the SUWG 100 times for each grid to obtain 100 sets of 30-year long data, i.e., 3,000 sample years per grid location. The heat waves with three return periods were extracted from the sample years. The sample year which contains the heat wave was selected for the creation of the EnergyPlus Weather file representing an Example Extreme Week (EEW). The EEWs are available for the 1970s and 2080s with three return periods: 10, 20 and 50 years for each 5 km grid location in the UK.The Spatial Urban Weather Generator was used to generate current and future weather data for 11326 grid locations across the UK. We used MATLAB installed on the Balena High Performance Computing system to process the 30 TB weather data generated for 11,326 grid locations and created the building simulation weather files in the format of EnergyPlus Weather.The EPW format is a plain text format that may be processed with EnergyPlus open source software (https://energyplus.net/). The format is documented in the Auxiliary Programs documentation accompanying the software
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