1056 research outputs found
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Dataset for "Deep learning based robot cognitive architecture for collaborative assembly tasks"
No full textDataset used for training action recognition method and task status prediction method for use in human-robot collaborative assembly scenario. Inertial measurement unit and skeleton tracking data included while users perform assembly tasks and gestures. Dataset has two parts; 1) human action recognition where sensor data is recorded along with ground truth of action being performed at that time 2) task status prediction where sensor data is recorded along with how long until each action in the task is completed.The methodology can be found in the associated publication.[Corrigendum 2023-10-09] An error during the recording process has led to data from the arm sensor being triplicated. This can be seen in the IMU data where columns 3–8, 9–14 and 15–20 in the files in har_training_data.zip are identical, as are columns 2–7, 8–13 and 14–19 in the IMU files in status_prediction_training_data.zip. Different recognition results may therefore be achieved when using the methods detailed in the associated publication on new data, though the underlying methods should not need modification. The authors apologise for this oversight
Dataset for Quantifying CPT cone factors in clays derived from weathered mudstone
No full textThis dataset contains data from a ground investigation in weathered, stiff, fissured clays of the Lias Group. In the paper, "Quantifying CPT cone factors in clays derived from weathered mudstone", these data are used to evaluate the performance of cone penetration test (CPT) profiles for predicting the undrained shear strength of these clays.
The dataset consists of a table including 94 pairs of corrected CPT cone factors (N_{kt,UU}), derived from a one-to-one comparison of 94 pairs of triaxial shear strength data from unconsolidated, undrained triaxial tests and CPT cone tip resistance data from equivalent depths.This data was collected as part of a commercial ground investigation by multiple contractors in Oxfordshire, UK. The data was provided by HS2 Ltd in the AGS4 Data Format. Full details of the methodology may be found in the "Materials and method" section of the associated paper.The table is presented as a plain text CSV file. The first row contains headers, some of which are defined in the AGS4 Data Format; the second row identifies the units used
Data on the Effects of Hegemonic Masculinity in US Presidential Speech Acts on Fatalities of Organised Violence in US Wars
Get PDFThis dataset it created for the measurement of the effect of hegemonic masculine US presidential speech acts on the development of fatalities in US wars. Hegemonic mascunility in this data is counted as the monthly absolute number and share of sentences with the word "protect" in which the method of protection is changing of someone else's behaviour by means of power (rather than conducting protective actions, such as accepting refugees, for example, or by restraining mutual power by means of arms control, disarmament etc.). Coding has been done by using NVivo and by coding each sentence from the document collection Public Papers of the President of the United States from the beginning of year 1989 until the end of 2013.The textual data is collected by using NVivo textual analysis program. The coding method on power-centricity is described in the chapter that this data supports. Then the data has been transferred to Stata program, and additional variables have been created with that program.For the data on fatalities of conflict I used Uppsala Conflict Data Program's Georeferenced Event Data: Davies, Shawn, Therése Pettersson, and Magnus Öberg 2022. ‘Organized Violence 1989–2021 and Drone Warfare’. Journal of Peace Research 59(4): pp. 593–610. https://doi.org/10.1177/00223433221108428 and Sundberg, Ralph and Erik Melander (2013) Introducing the UCDP Georeferenced Event Dataset. Journal of Peace Research 50(4). https://doi.org/10.1177/0022343313484347For the coding of text I used NVivo program, for the statistical treatment and the creation of additional variables I used Stata program
Data relating to work concerning the development of a quaternary cementitious system for aerial additive manufacturing
No full textData relating to work undertaken in the final year of the author's PhD involving the development of a fibrous, pseudoplastic quaternary cement system featuring portland cement, calcium aluminate cement, calcium sulphate and fly ash. The dataset includes data from mechanical tests, rheology tests, calorimeter tests, extrusion tests, deformation tests, force required tests and mix formulations.Extrusion and deposition data were collected by observation and manual recording.
Mechanical tests were carried out on an Instron Universal 2630-120/305632. Settlement tests compressed material at a rate of 2 mm/minute. Four-point bending flexural tests were in accordance with British Standard BS EN 12390-5:2009 (BSI,2009). Compressive tests were subsequently conducted in line with British Standard BS EN 1015-11:1999 (BSI, 1999).
Rheometer tests: A TA DHR-2 rheometer was used to conduct the tests with a 25 mm diameter flat upper geometry plate and flat 40 mm diameter lower plate. Flow tests were shear stress-controlled using linear stress ramps ranging from 300 - 6000 Pa and 900 - 50000 Pa. Oscillation tests were conducted over a period of 2000 seconds, covering the open time of the OPC/PFA/CAC/CS mixes and were controlled using an angular displacement of 5x10−5 radians with frequency maintained at 1 Hz.
Calorimetry tests: mixes were placed in a Calormetrix I-Cal 4000 isothermal calorimeter immediately following mixing and vibration. Each mix was tested three times, with the chamber temperature maintained at 7°C, 14.5°C and 22°C respectively. Tests were carried out over a period of forty eight hours.Data was created in the software of the laboratory instruments but all were imported into Microsoft Excel; the Excel files contain all relevant data for the work.Microsoft Excel was used for data organisation and analysis and Microsoft PowerPoint for figures exported to PDF for use in LaTeX
Dataset for "Interactions of Choline and Geranate (CAGE) and Choline Octanoate (CAOT) Deep Eutectic Solvents with Lipid Bilayers"
No full textDeep eutectic solvents (DES) and ionic liquids (ILs) are often amphiphilic and interact with phospholipid membranes. Mixtures between choline and gernanic acid, coined 'CAGE', have been found to facilitate the transdermal delivery of larger pharmaceuticals, such as insulin. However, little is known about its mechanism of activity. The purpose for obtaining this data was to characterise aqueous suspensions of choline and germanic acid (CAGE) and choline and octanoic acid (CAOT) and compare their interactions with solid-supported lipid bilayers and vesicle layers. Particularly, dynamic light scattering (DLS) and quartz crystal microbalance with dissipation (QCM-D) measurements were used alongside neutron reflectivity (NR) to evaluate any structure-function relationships contributing to the DES behaviour, aiming towards the rational design of neoteric solvents for transdermal delivery.Both 1:1 (IL) and 1:2 (DES) mixtures between choline (Ch) and geranic acid (GA) or octanoic acid (OA) were synthesised using hydrogenated and deuterated species for neutron reflectivity (NR) experiments. The structure of the mixtures were first characterised by dynamic light scattering (DLS), before their behaviour with lipidic phases was assessed by quartz-crystal microbalance with dissipation (QCM-D) measurements alongside NR.
IL/DES preparation:
Briefly, either geranic acid or octanoic acid were dissolved in ethanol and added dropwise to a solution of d9-choline hydroxide or choline bicarbonate in water, as appropriate. This was stirred for 2 h before excess solvent was removed under reduced pressure. Resultant viscous liquids were dried under vacuum for 24 h before use.
SUV preparation:
SUVs were prepared from a thin-film technique where DMPC was initial dissolved in chloroform (1 mg ml-1) and rotary dried under N2 (g). The resulting film was swelled with 2 ml of water heated to 35 oC and vortexed to create a suspension. Whilst the mixture was still warm, suspensions were bath sonicated to clarity indicating the formation of SUVs (~20-100 nm) that do not scatter light.
Supported Vesicle Layer (SVL) preparation:
DMPC SUVs were incubated with Au-coated substrates for 30 minutes before rinsing with clean solvent.
Supported Lipid Bilayer (SLB) preparation:
SLBs were prepared by SUV collapse. Prior to use, SUV suspensions were centrifuged for 15 mins (16,000 x g) to remove any multi-lamellar vesicles. Separately, an aqueous CaCl2 solution (1 mM) was prepared and used to dilute the vesicles to 0.3 mg ml-1. This solution was then injected over SiO2-coated substrates (0.5 ml min-1, 30 mins), before rinsing with clean solvent.Beamline data from the FIGARO specular NR instrument is available separately from Institut Laue-Langevin.
1H NMR:
Spectra were analysed using Mestrelab MNova 11.0 software where spectra were baseline corrected to allow integration of peak area.
QCM-D:
Before the relevant injection point, a stable baseline was chosen as the zero reference and the frequency and dissipation data relativised accordingly. Mass deposition was calculated using the Sauerbrey equation. A sensitivity of 17.7 ng Hz-1 cm-2 was used for 5 MHz chips (SiO2-coated) and 4.4 ng Hz-1 cm-2 for 10 MHz (Au-coated) was used.DFT Calculations:
To estimate molecular volume, DFT calculations of 1:2 CAGE, 1:2 CAOT and their constituent parts were performed using Gaussian 16. All structures were visualised and checked using frequency analysis.
DLS:
DLS was conducted using a Malvern Zetasizer Nanoseries and plastic cuvettes. Measurements were taken using backscattering and a wavelength of 663 nm. For each sample five sets of measurements were taken, consisting of at least 12 runs each.
QCM-D:
Measurements were conducted using an OpenQCM Q-1 sensor module with either SiO2-coated (5 MHz) or Au-coated (10 MHz) quartz chips (13.9 mm diameter). Chips were rinsed with ethanol, acetone and water before cleaning under UV/ozone for 15 mins. These were then sealed in flow cells and calibrated in air before incubation with clean solvents. Once a stable baseline occurred, experimental protocols were commenced.
NR:
Experiments were conducted at the Institut Laue-Langevin (ILL), France, on the FIGARO specular neutron reflectivity beamline. Before use, Si blocks (8 x 5 cm; 3 Å roughness) were cleaned under UV/ozone for 15 mins, rinsed with ultrafiltered water and then sealed into flow cells flanked by steel plates for temperature control. Resulting multidimensional time-of-flight data were reduced using the COSMOS software available at ILL. Models were fit using the Markov-Chain-Monte-Carlo (MCMC) algorithm within Refnx.Details of the data and labelling is available in the README.txt file
Dataset on the association between unilateral and UN operations and the number of fatalities of organised violence
Get PDFThis dataset is created for the study of the association between unilateral and UN operations and fatalities of organised violence. It links fatality statistics from Uppsala Conflict Data Program to data on UN peacekeeping operations and unilateral operations by great powers (UNSC P5) in 38 countries.
Definitions and data is further explained and justified in the associated publication, "Whose Conflict Prevention Works: Strong States vs. The Legitimate World Organisation" by Timo Kivimäki.The methodology used to assemble the Uppsala Conflict Data Program Georeferenced Event Dataset (GED) can be found in Sundberg and Melander (2013).
The timeline of operations by the UN and unilateral great powers has been explained and justified in the chapter associated with this dataset. The included do file shows the steps taken to derive this dataset.The dataset was created with the Stata/BE 17 program, and it was exported to MS Excel for tables and further calculations. The do file can be opened with any text editor
Dataset for "Dynamic Lone Pairs and Fluoride-Ion Disorder in Cubic-BaSnF4"
No full textThis dataset contains the DFT calculations used in the paper "Dynamic Lone Pairs and Fluoride-Ion Disorder in Cubic-BaSnF4". This consists of four sets of data files corresponding to the four main components of the theoretical workflow: Initial optimal volume calculations, Site analysis calculations, Polarisation analysis, and Analysis of Quenched structures. Each of these sets contains all the files necessary for the analysis to be run and the analysis themselves.
In addition, the experimental data plotted in the main paper is available in this archive.
The analysis of data is presented in the linked dataset "user200000/data-BaSnF4: Bath Dataset Equivalent Release" though the data necessary for these scripts to work is only available here.Ab initio molecular dynamics trajectories were calculated using the Vasp5 DFT and Ab Initio molecular dynamics code on the Archer2 national super computer. Wannierisation of this trajectory was performed using Wannier 90 on the Faraday Institution's Michael Supercomputer
Dataset for: "Carrier-resolved real-field theory of multi-octave frequency combs"
No full textThis dataset provides supplementary materials related to the article, "Carrier-resolved real-field theory of multi-octave frequency combs"," published in Optica. The dataset includes raw electric field distributions obtained from simulations based on the equations outlined in the manuscript. Additionally, the dataset contains a comprehensive list of physical parameters utilized in the simulations. Raw .fig Matlab files are also supplied for the visual data presented in the manuscript to improve transparency. For further information, please consult the included Readme file.The data presented in the dataset is the result of the solution of the differential equations described in the main text of the associated manuscript. All necessary parameters and references for the methods used can be found in the main text of the associated manuscript and "figure_parameters.zip" file.MATLAB 2021b was used
Dataset for "Anion-polarisation–directed short-range-order in antiperovskite Li2FeSO"
No full textThis dataset contains the DFT calculations used in the paper "Anion-polarisation–directed short-range-order in antiperovskite Li2FeSO". This consists of three constituent parts: cluster expansion training calculations, relaxation of large shells, and Wannierisaton analysis of structures of interest. These calculations feed into an additional python workflow which is located on GitHub and is associated with the DOI 10.5281/zenodo.7828910 (see data link below).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 "The Ruchardt experiment revisited: using simple theory, accurate measurement and python based data analysis"
No full textData for several runs of a Ruchardt experiment on 4 gases. See files for details. Also included are the distance dependence of the magnetic field and the leakage rate from the piston-cylinder system.Full details of the methodology may be found in the associated paper.
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