1056 research outputs found
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Dataset for "Third-harmonic Mie scattering from semiconductor nanohelices"
No full textThis dataset contains results of third harmonic scattering experiments performed on CdTe helices dispersed in liquid. The data support the publication "Third Harmonic Mie Scattering From Semiconductor Nanohelices".The data collection method is described in detail in the associated publication
Dataset for "Coherency of Lightning Sferics"
No full textThe dataset contains data and code underlying figures that illustrate an event selection process for lightning sferics with an example of 650 km group events. The data includes both amplitude waveform bank and coherency waveform bank data; coherency of different frequency components data of 190 km; simulated impulse detection cases data; and waveform comparison data. The code folder contains the code used to produce these figures in the associated publication.The full details of the methodology used are contained in the manuscript associated with this dataset
Dataset for "First-principles estimation of core level shifts for Hf, Ta, W and Re"
No full textInput files for the open source Quantum Espresso code are provided to reproduce the calculations presented in the paper with the following abstract.
A simple first-principles approach is used to estimate the core level shifts observed in X-ray photoelectron spectroscopy for the 4 electrons of Hf, Ta, W and Re; these elements were selected because their 4 levels are relatively shallow in energy. The approach is first tested by modeling the surface core level shifts of low-index surfaces of the four elemental metals, followed by its application to the well-studied material TaSe in the commensurate charge density wave phase, where agreement with experimental data is found to be good, showing that this approach can yield insights into modifications of the charge density wave. Finally, unterminated surface core level shifts in the hypothetical MXene TaC are modeled, and the potential of XPS for the investigation of the surface termination of MXenes is demonstrated.This dataset contains details necessary to reproduce the density functional theory calculations within the associated publication.The input files are intended for use with Quantum Espresso open-source density functional theory code (https://www.quantum-espresso.org/) with pseudopotentials generated by the "atomic" code included with QE and contained in PSlibrary (https://www.materialscloud.org/discover/sssp/plot/efficiency/). Quantum Espresso is described in the following papers:
Giannozzi, P., et al., 2009. QUANTUM ESPRESSO: a modular and open-source software project for quantum simulations of materials. Journal of Physics: Condensed Matter, 21(39), 395502. Available from: https://doi.org/10.1088/0953-8984/21/39/395502.
Giannozzi, P., et al., 2017. Advanced capabilities for materials modelling with Quantum ESPRESSO. Journal of Physics: Condensed Matter, 29(46), 465901. Available from: https://doi.org/10.1088/1361-648X/aa8f79.Input files follow the order of the figures in the paper
Dataset for "Multi-objective optimisation of urban courtyard blocks in hot arid zones"
No full textThis dataset supports the study on the relationship between the design parameters, namely, individual building heights, interspaces, and orientation, and both outdoor thermal comfort and cooling loads of urban courtyard blocks in Cairo, Egypt. The study uses Grasshopper for Rhino3D and its environmental plugins, Ladybug-tools, as well as the multi-objective optimisation plugin, Octopus, to analyse thermal comfort represented by the Universal Thermal Climate Index (UTCI) along with cooling loads in MWh of thousands of courtyard block configurations. The data files include the raw data as produced by the search algorithm, and recorded in Grasshopper, the refined data excluding duplicates, data for the Pareto optimal sets, as well as the processed data.Simulations were setup in Grasshopper, where the plugin Octopus was used to iterate the simulation of each courtyard geometrical configuration, and the Ladybug-tools to calculate the objective functions. Grasshopper components, "Data Recorder", were used to record the recursive data iteratively throughout the 3 types of simulations. Upon the end of each phase, the data was manually transferred (copy-pasted) to CSV files by the researcher.
For the data files, types A, B, and C refer to courtyard's width elongated 1, 2 and 3-fold its length. The annotation "dup" refers to the entire sample produced by the algorithm, which contains duplicate solutions. The annotation "exc_dup" refers to the refined sample after excluding duplicate solutions. The annotation "Pareto" refers to the best performing solutions in the refined sample in terms of both objective functions (UTCI and Cooling loads), also known as the Pareto front solutions. The xlsx file includes all the data in the 9 files, along with their analyses and visualisations.Rhinoceros V.6 Service Release 29
Grasshopper Build 1.0.0007
Ladybug V.0.0.69, Honeybee V.0.0.66Data were organised in MS Excel.
Av. OTCA stands for the average Outdoor Thermal Comfort Autonomy (not reported in the paper)
TIEGCM November Experiment – November ionosphere (a)
No full textThis dataset contains the model run for the period between 16 and 17 November 2003, with the ionospheric fields replaced with the corresponding fields from the storm time run (20 to 21 November 2003) at 6 a.m. on 16 November.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 temperature (e)
No full textThis dataset contains the model run for the period between 15 and 16 October 2003, with the neutral temperature thermospheric field replaced with the corresponding field 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
TIEGCM Halloween Experiments – Halloween typical day run (u)
No full textThis dataset contains the model run for the period between 15 and 16 October 2003, representing a typical period.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 "Relationship between change in social evaluation learning and mood in early antidepressant treatment: A prospective cohort study in primary care"
Get PDFThis study aimed to examine the association between change in social evaluation learning and mood over the first eight weeks of antidepressant treatment. Participants were primary care patients receiving antidepressant treatment under the care of their GP. Participants completed data collection at five timepoints; baseline (prior to starting antidepressants or within the first two weeks of treatment), two week, six week, eight week and six-month follow-up. At each testing session participants completed self-report measures of depression (BDI-II, PHQ-9), anxiety (GAD-7), and a computerised task measuring learning of social evaluations about the self, a friend and a stranger.
Prior to the COVID-19 pandemic participants also completed three other cognitive tasks (associative learning, word categorisation and recall, and a facial emotion recognition task). To reduce fatigue effects associated with remote testing we removed these tasks from March 2020. Due to only a small number of participants completing these measures we have not analysed this data and have therefore not reported results in the associated paper. However, we have made the data open access to allow for exploratory research in preparation for potential future studies. Full details of these tasks are available in supplementary materials in the manuscript reporting our main findings.Prospective cohort study assessing patients recruited from primary care sites in South West England at four timepoints over the first 8 weeks of antidepressant treatment. At each timepoint participants completed self-report measures of depression (BDI-II, PHQ-9), anxiety (GAD-7), and a computerised task measuring learning of social evaluations about the self, a friend and a stranger.Data was anonymised by creation of unique numerical participant IDs and removal of potentially identifiable data.Data was cleaned and analysed using R version 4.0.5Full details of variables included in each dataset are provided in the data dictionary
Cambridge Centre for Business Research Survey of Knowledge Exchange Activity with Universities by United Kingdom Companies, 2017-2021
No full textThe Cambridge Centre for Business Research Survey of Knowledge Exchange Activity with Universities by United Kingdom Companies, 2017-2021 contains the results of an online survey of directors of UK companies in 2020-2021.
The survey was designed to assess the extent and nature of the knowledge exchange interactions of their companies with the university sector. It covers the three-year period to March 2020 prior to the Covid-19 pandemic and questions relating to the subsequent impact of the pandemic on knowledge exchange patterns. The researchers inquired about 33 modes of interaction grouped into four broad categories. These were commercialisation (3 modes), people-based (10 modes), problem-solving (12 modes) and community-based (4 modes).
The survey covers a sample of 3,823 companies in all sectors, regions and countries of the UK and employment sizes ranging from micro-firms less than 10 employees, to the largest public listed corporations. The response rate was 4.4 per cent and a detailed response bias analyses by survey wave and prompt wave showed largely insignificant sample response bias compared to the sampling frame drawn from the FAME database of all UK companies.
The dataset provides a unique source of data on a critical period of challenge for knowledge exchange in the UK. David Sweeney, the then Executive Director of Research England which sponsored the survey commented on an initial report of results in 2022 that "This report which has an exclusive focus on company interactions with universities, is an important addition to our understanding of the collaboration process" (The Changing State of Business-University Interactions in the UK. Centre for Business Research and NCUB. 2022 p2).
The survey dataset contains many variables comparable with a similar previous postal survey of an earlier period by two members of the current research team. The data from this is available from the UK Data Archive under SN 6464 - Cambridge Centre for Business Research Survey of Knowledge Exchange Activity by United Kingdom Businesses, 2005-2009.Time dimension: Follow-up to cross-sectional study. Sampling procedure: Multi-stage stratified random sample. Mode of data collection: Self-administered questionnaire: Web-based (CAWI). Weighting: No weighting used
Dataset for "A self-consistent model to link surface electronic band structure to the voltage dependence of hot electron induced molecular nanoprobe experiments"
No full textThis dataset contains data supporting the results presented in the paper "A self-consistent model to link surface electronic band structure to the voltage dependence of hot electron induced molecular nanoprobe experiments". It includes the data used to plot each figure in .csv format, associated with this publication.
This study uses a scanning tunnelling microscope (STM) to initiate molecular nanoprobe experiments on the Si(111)-7x7 at room temperature. A simple model is developed for the fraction of the tunnelling current captured into each of the surface electronic bands with input from only high-resolution scanning tunnelling spectroscopy (STS) of the clean Si(111)-7x7 surface. This model fits the measured data and gives explanation to the measured voltage onsets, exponential increase in the measured manipulation probabilities and plateau at higher voltages. It also confirms an ultrafast relaxation to the bottom of a surface band for the injected charge after injection, but before the nonlocal spread across the surface.
Experimental section of the publication (available on gold open access) contains more details on the methodology and data preparation.Experiments were performed with a room-temperature UHV (1x10e-10}~mbar) Nanonis controlled Omicron STM-1. Silicon samples of a pre-cut n-type (P-doped, 0.001-0.002 Ohm.cm) (111) wafer were cleaned and reconstructed by computer automated direct current heating. Toluene was purified by freeze-pump-thaw cycles and a small dose (2 Langmuir) was introduced in the gas chamber with a computer controlled leak-valve at pressure of up to 1x10e-9 mbar. Tungsten tips were electrochemically etched from 0.25 mm diameter wire in a 2M NaOH solution and cleaned from oxide through resistive heating in high vacuum (1x10e-6 mbar). An in-house LabVIEW programme was used to compensate and maintain the thermal drift to below 2 pm/s during both manipulation and STS experiments. Nonlocal manipulation experiments were automated with a suite of Matlab and LabVIEW programmes to ensure automatically atomically precise charge injection or STS measurements. For STS here the tip was pushed closer to the surface by 25 pm/V to amplify the signal at low bias with the (dI/dV)/(I/V) analysis performed using the usual methods.Full details of how the data were processed may be found in the main text of the paper. The full paper is available on gold open access
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