1056 research outputs found
Sort by
Sidescan sonar images for training automated recognition of submerged body-like objects
No full textThis dataset contains sonar image data collected from various locations in Bath and Bristol, UK. It was collected using an autonomous uncrewed surface vessel (USV) equipped with Blueprint Subsea StarFish 450 and StarFish 990 side scanning sonar.
The higher resolution images were used to train convolutional neural networks (CNNs) for autonomous detection of a sunken mannequin, used as a proxy for a drowning victim in missing persons scenarios.Full details of the methodology used to collect the images using side scanning sonar may be found in the paper, "A prototype autonomous robot for underwater crime scene investigation and emergency response"
Dataset for "Measuring competing outcomes of a single-molecule reaction reveals classical Arrhenius chemical kinetics"
No full textThis dataset contains data supporting the results presented in the paper "Measuring competing outcomes of a single-molecule reaction reveals classical Arrhenius chemical kinetics". It contains the analysed data of single toluene molecule manipulation experiments carried out on the Si(111)-7x7 surface in Excel spreadsheet format. The experiments span the injection bias voltage range of +1.4 eV to +2.2 eV, the injection current range of 25 pA to 900 pA, and three separate injection locations: on top of an adatoms, a molecule, and a restaom. The dataset contains the extracted manipulation probabilities and branching ratios as well as spectroscopy data above faulted corner and toluene faulted middel sites.
The atomic resolution of scanning probe microscopy and its ability to excite a molecule locally can give control over the probability of inducing a single-outcome single-molecule reaction. The paper shows our control over the branching ratio between a single-molecule reaction that exhibits two reaction outcomes. Toluene molecules chemisorbed on the Si(111)-7x7 surface at room temperature are induced to react, one at a time, by the tunnelling current of a scanning tunnelling microscope: the molecule either desorbs, or switches to an adjacent surface site. Above a voltage threshold set by the electronics structure of the molecule, we see that the branching ratio between these two outcomes is dependent on the excess energy the exciting electron carries. Using known values and ab inito DFT calculations support our findings, a simple Arrhenius model is developed to describe the intermediate physisorbed state that leads to either desorption or site-switching. We conclude that the excess energy of the exciting electron leads to a heating of the intermediate physisorbed state and hence, via their energy barrier and pre-factors, gives control over the two reaction outcomes.Experiments were performed with an Omicron STM1 microscope operating at room temperature and a base pressure of approximately 1×10⁻¹⁰ mbar. Si(111)-7×7 samples, tungsten tips and toluene molecules were prepared following the procedures outlined in reference 16 of the associated paper. The Si(111)-7×7 surface reconstruction was obtained from pre-cut Si(111) samples (n-type, phosphorus doped, 0.001–0.002 Ω cm) by repeated resistive heating to 1250°C. Tungsten tips were etched in a 2 M NaOH solution and out-gassed in vacuum to remove any tungsten-oxide. Toluene was purified by the freeze-pump-thaw technique with liquid nitrogen and checked for purity with a quadrupole mass spectrometer. We chose toluene for this study because of its thermal stability at room temperature, its ease of STM-induced molecular desorption, and its lack of STM current induced intramolecular bond breaking. To prepare a partially toluene covered surface (approximately 3 molecules per unit cell) the Si(111)−7×7 surface was dosed through a computer-controlled leak valve. Stability during the injection was ensured by a drift-compensation software which limited sample drift to between 100 fm/s and 10 pm/s in each of the x, y and z directions. All voltages are applied to the sample with the tip grounded through a Femto pre-amplifier.Full details of how the data were processed may be found in the supplementary text of the paper.The dataset is in Excel (Office Open XML) spreadsheet format.The data used to plot each figure in the paper is provided on a separate sheet in the Excel workbook. The raw experimental data is also included on separate sheets
Data supporting "Fast, low-loss, all-optical phase modulation in warm rubidium vapour"
No full textThis dataset includes data that describes phase modulation of light mediated by an all-optical, two-photon transition in warm rubidium vapour. The presence of a bright control field, detuned from an atomic resonance, induces a change in the atomic susceptibility. A weak signal field counter-propagates with the control field, and experiences phase modulation, which is dependent on the strength intensity of the control field. These data are collected from experiments in both a continuous wave and pulsed field configuration. We also include numerical simulations of the continuous wave experiments.This dataset consists of transmission measurements though a rubidium vapour cell and simulations thereof. A weak signal field counter-propagates through the cell with a strong control field, each detuned from transitions in the Rb atom. We include experimental and simulated transmission spectra for the continuous wave signal field with the control field modulated by an optical chopper. Transmitted signal light is analyzed by a time-binned interferometer, and phase shift is extracted. Similarly, experimental results for a pulsed signal field are observed, and analyzed by the same means.The continuous wave laser used was a Moglabs Cat Eye diode laser, operating at 780 nm. The pulsed signal laser was an Eblana EP1560-0-DM-B05-FM, and the control laser was a ID Photonics CoBrite DX1. Both of these lasers were amplified by an erbium-doped fibre amplifier, before frequency doubling to 780 nm and 775 nm respectively. The rubidium cell used was enriched with the 87-isotope, and was purchased from Precision Glassblowing. It has anti-reflection coated, angled windows. The simulations were undertaken using Python code on the Imperial College London high performance computing system
Dataset for "Guidance of ultraviolet light down to 190 nm in a hollow-core optical fibre"
No full textThe data archived here is the raw data for the characterisation of a hollow core anti-resonant fibre designed to guide in the ultraviolet wavelength range. Measurement of attenuation and bend loss were performed and the code used to process the raw data is also provided.For the cutback measurements, the transmission through a long length of fibre was taken and then the length of the fibre was reduced and the transmission was taken again with no change in the input coupling.
For bend loss, the transmission through a large loop ~ 45 cm diameter was taken and then the fibre was wound into 5 loops of smaller radius and the new transmission recorded.
In both cases two output cleaves were performed at each stage.Equipment used: custom built Bentham monochromator, EQ-99X LDLS from Energetiq/Hamamatsu.
The MATLAB code is known to work with release R2023a.The data files (*.dat) are plain text files containing tab delimited columns. These columns are arranged into pairs, where the first column is wavelength in nanometres and the second is signal in nanoamps.
In the files in the Cutbacks folder, the first four column-pairs are signal through fibre, while the last column-pair is a background scan.
In the files in the Bend loss folder, the first two column-pairs are a large bend radius; the next two are the radius as given in the filename (e.g '6cm'); and the final column-pair is the fibre returned to the large bend radius
UK Nationally Representative Survey 2023: Householder acceptance and participation in the performance evaluation of homes
No full textThis dataset was created in the context of a fellowship that aimed to investigate the opportunities and barriers to householder acceptance and participation in performance monitoring of UK homes.
Performance monitoring supports the transition to net zero homes by providing evidence useful for understanding the quality and operational performance of new and existing homes, and promoting dialogue between policy makers, stakeholders, and householders. Smart technologies provide the cost and time efficiency, and technological readiness to deliver such monitoring. The findings of the study were informed by data derived from three nested research methods – a survey, interviews and focus groups. This dataset contains the data from the survey: a nationally representative sample of 972 responses.The survey sampling strategy was designed to reflect the relative populations of the four home nations of the UK, while at an overall level to provide findings which are statistically robust and reliable (i.e., to +/- 3.1% at a 95% confidence level).
Therefore, the survey aimed to recruit 1000 participants from a total UK population of 66.9 million (mid-2019 estimate), broken down as follows:
- 700 from England (pop. 56.3 million, 84% of the total);
- 100 from Scotland (pop. 5.5 million, 8% of the total);
- 100 from Wales (pop. 3.2 million, 5% of the total);
- 100 from Northern Ireland (pop. 1.9 million, 3% of the total).
A further 33 telephone surveys (excluded from this dataset) were conducted to check for digital bias and the profile matched.A social research company was engaged to recruit participants for the survey based on their existing datasets. All data was anonymised prior to receipt and analysis by the researcher.The data file is in MS Excel format and can be viewed and analysed using standard statistical analysis packages
Dataset for "Sweating the Details: Emotion Recognition and the Influence of Physical Exertion in Virtual Reality Exergaming" and EmoSense SDK
No full textAll the raw participant data that was used for the EmoSense SDK and the CHI 2024 paper "Sweating the Details: Emotion Recognition and the Influence of Physical Exertion in Virtual Reality Exergaming". There is data for 72 participants.
Each participant has 10 csv files: 2 aggregated calibration, 2 raw calibration, 3 raw study - These files contain sensor measures under different conditions - and 3 affect response files - participant ground truth measures of affect.
Questionnaire_Data contains post exercise-bout measures of intrinsic motivation and flow.
Baseline_Affect_Data is prestudy participant ground truth affect measures.
Aggregated_Data contains an aggregate file of all participant data that was used for the analysis described in the CHI paper.For the methodology and apparatus of the data collection, please refer to the paper.The VR exergame developed for this study, required participants to cycle on a stationary Wahoo KICKR exercise bike while wearing a Vive Pro Eye VR headset. Physiological measures were collected using the eye tracker in the VR headset (pupillometry), a Shimmer3 GSR+ tethered to a participant's middle and ring finger (EDA), a Polar H10 HR monitor chest strap (HR and HRV), and a Vive face tracker (facial tracking). All physiological measures were sent to a PC (Intel 13900K, Nvidia GTX 4090 and 64GB of DDR5 RAM) running the Unity VR exergame over Bluetooth (BLE protocol), which recorded all measures at a sample rate of 40-50 Hz using the EmoSense
Dataset for "“Clicking” trimeric peptides onto hybrid T8POSS nanocages and identifying synthesis limitations"
No full textMALDI-TOF Mass Spectroscopy raw data in Bruker .FID file format, relating to the reaction conditions detailed within research article "“Clicking” trimeric peptides onto hybrid T8POSS nanocages and identifying synthesis limitations".MALDI-TOF mass spectra was carried out as a paid service by the National Mass Spectroscopy Facility (NMSF), Swansea University Medical School, Swansea University, Singleton Park, Swansea, SA2 8PP.
MALDI-TOF MS was acquired through a Bruker ultrafleXtreme MALDI-TOF/TOF using alpha-cyano hydroxycinnamic acid (CHCA) as a matrix and HFIP:DCM (3:7) as a solvent.
Acquisition Parameters:
Acquisition operation mode - Reflector
Voltage polarity - POS
Number of shots - 7500
Calibration reference list used - SpheriCal Isotopic MassesNo changes or analysis has been applied to this raw dataset.The data was acquired through a Bruker ultrafleXtreme MALDI-TOF/TOF instrument and its Bruker PolyTools acquisition software, therefore the data is in Bruker's .FID filetype and requires software that can read such filetype.The data is in ZIP file format and arranged according to the figure numbering within the relating research article and its corresponding Supplementary Data document
Dataset for paper "Model-based Trajectory Tracking of a Compliant Continuum Robot"
No full textThis is the dataset for the dynamic analysis of the Endoscope described in paper "Model-based Trajectory Tracking of a Compliant Continuum Robot". The dataset includes model-generated trajectory demands and experimental data from Optitrack motion tracking and Simulink-generated torque demands.The data presented here were generated in two ways:
- Model data were generated off-line by inputting a desired trajectory and running the model to generate demand tendon values
- Experimental data were generated by two sources, a) the Optitrack visual marker data in 3D space for the disks of the endoscope robot, and b) the Simulation data logging from the endoscope robot controller where the actual tendon tensions are being recorded
Dataset for "The Effect of an Acute Bout of Exercise on Circulating Vitamin D Metabolite Concentrations: A Randomised Crossover Study in Healthy Adults"
Get PDFData from 33 participants who completed a two-arm randomised crossover study of the effect 60 minutes of treadmill exercise at 60%VO2max versus rest on serum concentrations of vitamin D metabolites. Data are participant sex, age, height, weight, waist and hip circumference, resting metabolic rate, VO2max, and total25(OH)D, 25(OH)D2, 25(OH)D3, 1,25(OH)2D3, 24,25(OH)2D3, 3-epi-25(OH)D3, Free25(OH)D, D3, vitamin D binding protein, parathyroid hormone, calcium, albumin, triacylglycerol, glycerol, and non-esterified fatty acids. Samples we collected immediately before (-1h), immediately after (0h), one hour after (1h), and 24 hours after the exercise.An intravenous cannula was fitted into an antecubital vein to collect 10 mL blood samples throughout the experimental trials, with venepuncture used for the 24-hour sample. Blood samples were distributed between an EDTA-coated tube and an untreated serum tube (Sarstedt, Germany). The EDTA-coated tube was immediately centrifuged for 10 minutes (4000 g, 4°C), after which the supernatant was immediately removed and stored at -80°C. Serum tubes were left to stand for 30 minutes at room temperature before being centrifuged and stored as described above.
Vitamin D metabolites, 25(OH)D2, 25(OH)D3, 1,25(OH)2D3, 24,25(OH)2D3, 3-epi-25(OH)D3, and D3, were measured with Liquid Chromatography Tandem Mass Spectrometry.
Vitamin D binding protein was analysed using a commercially available enzyme-linked immunosorbent assay (ELISA) (Immundiagnostik).
Parathyroid hormone was analysed using a Roche Cobas analyser (electrochemiluminescence sandwich assay).
Calcium, albumin, triacylglycerol, glycerol, and non-esterified fatty acids were analysed using an automated clinical chemistry analyser (Randox Daytona Plus)
Dataset for "High-amylose starch-based gel as green adhesive for plywood: Adhesive property, water-resistance, and flame-retardancy"
No full textThis dataset results from a study that introduced a novel gel adhesive composed of chemically unmodified high-amylose starch (G70, with 68% amylose content) with a minimal proportion of urea-formaldehyde (UF) (UF/starch = 1:10, w/w). This G70/UF gel demonstrates remarkable adhesive capabilities for wooden boards under both dry conditions (with a shear stress of 4.13 ± 0.12 MPa) and wet conditions (with a shear strength of 0.93 ± 0.07 MPa after 2 hours of water soaking).
The dataset contains Origin (Unicode) Project files used to generate the plots shown in the associated paper, "High-amylose starch-based gel as green adhesive for plywood: Adhesive property, water-resistance, and flame-retardancy". It also contains scanning electron microscopy (SEM) images for NCS/UF, G70/UF, and G50/UF gel samples, which are not shown in the paper; and raw X-ray photoelectron spectroscopy (XPS) data for NCS/UF and G70/UF gel samples, visualised in Figure S1 in the paper's supplementary material.For details of the data acquisition experiments, refer to the "Materials and Methods" section in the associated paper.Excel, Origin and Thermo Avantage software programs were used for creating the data files and processing the data. SEM data is provided in Tagged Image File Format (TIFF). XPS data is provided as Excel spreadsheets (.xlsx) and Thermo Avantage data files (.vgd and .vgp). Plots used as figures in the associated paper are provided as Origin (Unicode) Project files (.opju).The names of the Origin (Unicode) Project (.opju) files correspond to the figure numbers in the associated paper and supplementary material. For the detailed information regarding the samples tested, refer to the respective figure captions
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! 👇