1056 research outputs found
Sort by
Dataset for "Identifying misleading corporate narratives: The application of linguistic and qualitative methods to commercial determinants of health research"
No full textThis dataset concerns the language used by Philip Morris international (PMI) in their external communications. The dataset was collected in order to identify patterns in language used in different corporate communications.
This dataset includes Annual Reports, Investor reports, Investor day slide decks, transcripts and reports. It is a record of the inductive coding conducted for this project.
The dataset contains the final codebook, which was agreed and approved by all coders.We developed a mixed-methods protocol blending methods and tools from corpus linguistics (CL) with inductive coding methods. For the “investor” targeted communications, we sampled annual and investor reports and presentations to shareholders, which included any associated slides and scripts. For the “wider audience” targeted communications, we sampled corporate webpages, and corporate YouTube videos.
Annual reports, investor reports and presentations to shareholders were accessed and downloaded via PMI’s investor web pages. The sample of corporate webpages was downloaded manually according to a sampling filter developed specifically for this research. Corporate YouTube videos were accessed directly through PMI’s dedicated account. Automatically generated audio transcripts available from YouTube videos on a single playlist, titled “Inside Us” were saved in NVivo and checked for accuracy by IF, to allow for qualitative coding. Annual and investor reports were downloaded from PMI's website.
Webpage sampling
As there was no site map readily available through PMI's website, we used a freely available online site mapping tool (xml-sitemaps.com) to generate an XML site map for www.pmi.com and sampled webpages according to the underlying logic of the page hierarchy. This sample consisted of pages at the “top” level (for example, www.pmi.com) and any pages nested under “home”, “investor relations”, “our business” or “who are we”. Target pages were captured using NVivo and Greenshot, and archived using WayBack Machine.Coded in NVivo release 1.5.1 (940). QSR International. Subject to license agreement. File converted to permit reading in latest version of NVivo - release 1.6.1 (1137).
SketchEngine (https://www.sketchengine.eu/) was used for Corpus Analysis. Subject to licence agreement. (UoB licence not active as of 01/09/2022)Data files in NVivo are sorted according to data type/source
TIEGCM Halloween Experiments – Halloween Background run (truth)
No full textThis dataset contains the model run for the period between 29 and 30 October 2003, representing a storm period. This represents the truth against which the forecasts were compared.Full details of the methodology may be found in the 'Method' section of the associated paper.Details about this dataset are available from the main record: https://doi.org/10.15125/BATH-0057
TIEGCM Halloween Experiments – Halloween neutral wind (d)
No full textThis dataset contains the model run for the period between 15 and 16 October 2003, with the neutral wind thermospheric fields replaced with the corresponding fields from the storm time run (29 to 30 October 2003) at 6 a.m. on 15 October.Full details of the methodology may be found in the 'Method' section of the associated paper.Details about this dataset are available from the main record: https://doi.org/10.15125/BATH-0057
Dataset for "Assessing the immunosuppressive activity of alginate-encapsulated mesenchymal stromal cells on splenocytes"
No full textThe dataset includes all raw data for the journal article. It includes flow cytometry data (.fcs files) for figures 2 and 4 measuring the splenocyte count in each sample. This gives a measure of the immunosupression of splenocyte proliferation by mesenchymal stromal cells. It also includes PCR data for figure 3 was obtained using StepOne software (ThermoFisher). This dataset shows the effect of alginate encapsulation on MSC immunosuppressive genes. It contains the gene expression levels, as measured through qRT-PCR, on key immunosupressive genes IDO , NOS2, ARG1 and PTGS2 using β-Actin and HPRT-1 as the housekeeping genes. MSC as monolayers on tissue culture plastic or encapsulated within alginate beads were either left untreated or exposed to 10 mg/ml TNF-α, 10 ng/ml INFγ or both (10 ng/ml TNF-α + 10 ng/ml INFγ) for 24h.ETERM_Fig02_DvsTW and ETERM_Fig04_Exp01_03: To determine effect of MSCs on the suppressing the proliferation of splenocytes, the cells were co-cultured for defined periods of time. The splenocytes were stained with the CellTrace™ violet dye and their degree of proliferation measured using flow cytometry. All flow cytometry measurements were performed on a LSRFortessa (BD Biosciences) instrument and data aquisition through the FACSDiva software. Two experimental controls were defined: (1) Splenocytes without any Concanavalin A stimulation (negative control) and (2) splenocytes treated with concanavalin A without any MSCs (positive control). The results were all normalized to the proliferation index (PI) of the positive control. The MSCs were unstained and hence did not interfere with the flow cytometric measurements. During aquisition, the splenocytes were gated in the forwards versus side scatter plot and 10,000 to 100,000 events collected. The .fcs files were then processed using the FlowJo software (BD Biosciences) to gate for single events and finally the histogram for the V450 channel where the CellTracker Violet signal is recorded. The files were saved in the .fcs format and processed using custom-writted R code to calculate the proliferation index.
ETERM_Fig03_PCR: This folder contains the qPCR data for measuring gene expression. The samples were run on a qPCR machine and data aquired using the StepOne software (ThermoFisher). All information on genes analysed, housekeeping genes used are recorded within the sample dataset.Please refer to the data collection method for information on equipments and softwares used for data collection and processing.The raw data are classified into 3 folders refereing to the figure number in the manuscript. Raw data files and post processed data files (as excel files) are available
Dataset for "Electrical impedance behaviour of carbon fibre reinforced cement-based sensors at different moisture contents"
No full textThe data "Cement-based sensors.zip" is pertinent to the study in the paper "Electrical impedance behaviour of carbon fibre reinforced cement-based sensors at different moisture contents" published in the Journal of construction and building materials.
The purpose of collecting the data was to understand the impedance behaviour of cement-based sensors at different fibre and moisture contents, which facilitates the in-situ use of cement-based sensors.
The data contains information of the mass, moisture content, saturation degree, and bulk impedances measured at each drying time.
Nine individual excel spread sheets are included in the zip file. Each named as "sensor + number". The number is the volume percentage of the fibres incorporated.
Each spread sheet contains information collected through the monotonic drying test and the impedance measurement.
In each column:
Rb refers to "bulk resistance"
Sb refers to "bulk conductivity"
MC refers to "moisture content"
SD refers to "saturation degree"
FCS refers to "fractional change in bulk conductivity"The impedance measurement was made on the cement-based sensors under the voltage of 707.107 mV, and the frequency range was 1 Hz – 10 MHz.
The sensors were dried under the environment of 60 Celsius and 5% RH. Impedance signature and mass was collected between certain time intervals.
The purpose of this experiment was to understand the electrical behaviour of cement-based sensors at fibre contents through percolation under different moisture contents.The impedance response was collected with a Newtons4th PSM 3750 frequency analyser (Newtons4th Ltd., Leicester, UK) interfaced with an impedance analyser. The Impedance analysis software was Zview (Scribner Associates Inc, North Carolina, USA)
Dataset for: Tobacco Industry Messaging around Harm: Narrative Framing in PMI and BAT Press Releases and Annual Reports 2011 to 2021
No full textThis dataset includes Annual Reports and Press releases from British American Tobacco and Philip Morris International published between 2011 and 2021 containing one or more of the keywords: harm, risk, HTP, heat, e-cig/e-cigarette, vap and any of their variants.
The data was qualitatively coded using an existing codebook, which is also included in the dataset.
The dataset relates to corporate communications around harm and risk, and was collected in order to understand how particular narrative frames might interfere with public health policy relating to tobacco.PMI and BAT were selected based on their market value - largest and second largest transnational tobacco companies worldwide in 2021.
All annual reports were saved. Press releases were filtered
for inclusion based on the use of any of researcher-identified
key words relating to harm reduction, these were risk, htp, harm, heat, e-cig/e-cigarette and vap.
Press releases and annual reports covering the relevant date
range (2011–2020) containing any of the pre-identified
keywords were downloaded directly from company
webpages.
Boydstun et al.’s Policy Frames Codebook was used
as a framework to code paragraphs that contained any of the
target keywords. Relevant text was coded in paragraphs and
undertaken by four coders. All relevant text was double coded.Duplicated press releases were deleted prior to the
start of analysisNVivo
AntCon
Data from the parametric analysis of masonry buttressed arches with limit analysis subjected to vertical self-weight plus a proportional horizontal live load
No full textFor each one of the simulations performed from the parametric analysis of masonry buttressed arches with limit analysis subjected to vertical self-weight plus a proportional horizontal live load, this database contains a .txt, a .vtk and a .png file. In the .txt file the elapsed time and the collapse multiplier of each simulation can be found. The .vtk file contains all the geometry and displacement values of every masonry buttressed arch. Finally, the .png file presents the collapse mechanism obtained
Raw data for "Transient mutation bias facilitates rapid and predictable adaptation toward optimal peaks on an empirical genotype-phenotype landscape"
No full textThis dataset supports the paper "Transient mutation bias facilitates rapid and predictable adaptation toward optimal peaks on an empirical genotype-phenotype landscape". It contains the raw data for this study, primarily measurements of the motility of motile mutants evolved from ancestrally non-motile variants of the microbe Pseudomonas fluorescens SBW25.For full details of the methodology used, see the Methods section of the associated paper
TIEGCM Halloween Experiments – Halloween full state (c)
No full textThis dataset contains the model run for the period between 15 and 16 October 2003, with all model fields replaced with the corresponding fields from the storm time run (29 to 30 October 2003) at 6 a.m. on 15 October.Full details of the methodology may be found in the 'Method' section of the associated paper.Details about this dataset are available from the main record: https://doi.org/10.15125/BATH-0057
Dataset for "The Effect of Cation Exchange on the Pore Geometry of Zeolite L"
No full textA collection of data used for the article "The Effect of Cation Exchange on the Pore Geometry of Zeolite L". In that work, we explore the effect of cation exchange on the pore dimensions, cation locations and water distribution within the 12R channel systems of LTL-type zeolites. Non-framework K+ cations are exchanged with larger Cs+ and smaller Li+ ions to physically alter pore openings and cavity volumes. Advanced structural characterisation provides insight into the locations of these extra-framework cations and water molecules.
Included in the dataset are GSAS (Generalized Structure Analysis System) refinement files for the zeolites; raw Rigaku SmartLab ASCII output files and Origin Project files from powder X-ray diffractometry; and crystal structures as CIF files.K-L and partially exchanged Li-L and Cs-L zeolites were characterised at ambient conditions by performing high resolution x-ray diffraction measurements. To optimise the resolution, overnight scans (scan speed 0.1°/min with step size 0.02° across a 2θ range 87 from 1–40°) were performed on a Rigaku SmartLab diffractometer with a high flux rotating copper anode x-ray source (monochromator, λ=1.544414 Å) at the materials characterisation lab, ISIS Neutron and Muon Source. Structural characterisation was performed by Rietveld refinements using the GSAS suite of programs.GSAS files may be opened with GSAS-II software (https://subversion.xray.aps.anl.gov/trac/pyGSAS). ASC files are the plain-text output from the Rigaku SmartLab diffractometer. OPJ files can be opened with Origin data analysis software (https://www.originlab.com/)
Access Repository Dashboard
Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇