eData: the STFC Research Data Repository
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Simulation study of Low Frequency Radiation in a 3D Cavity produced by transit of wakefield bunch
No full textSimulation data produced using Vacuo3D for PPCF-105330
Organized accoring to simulations listed in paper (A1-A5, B1- B4) provides
blcinp.dat : which gives the profile of the conducting cavity used and is a Vacuo input file
readin.in : input deck
probe.dat and probe2.dat : contain the time series of the E-field probe that was used to generate the spectra in the pape
Additional SMLM Data from "Reinforced optical cage systems enable drift-free single-molecule localization microscopy"
No full text1. Five image series' of fluorescent beads and their subpixel localisations in each frame, acquired with a homebuilt microscope. .tif files for images, .csv files for localization data. Used for axial drift and lateral drift quantification.
2. Five image series' of fluorescent beads and their subpixel localisations in each frame, acquired with a commercial microscope. .tif files for images, .csv files for localization data
3. STORM image series of HeLa cells with alpha-tubulin immunolabelled with antibodies conjugated to Alexa Fluor 647 and localisation data, acquired with a homebuilt microscope. .tif files for images, .csv files for localization data
4. STORM image series of HeLa cells with alpha-tubulin immunolabelled with antibodies conjugated to Alexa Fluor 647 and localisation data, acquired with a commercial microscope. .tif files for images, .csv files for localization data
5. STORM image series of U2OS cells with Nup96-SNAP-AF647 and localisation data acquired with a homebuilt microscope. tif files for images, .csv files for localization data
6. STORM image series of U2OS cells with Nup96-SNAP-AF647 and localisation data acquired with a commercial microscope. .tif files for images, .csv files for localization dat
IR and 2D-IR data from "Distinctive signatures and ultrafast dynamics of Bronsted sites, silanol nests and adsorbed water in zeolites revealed by 2D-IR spectroscopy", Chemical Science , 2025
No full textData for the 2D-IR and FT-IR spectra shown in each Figure of the manuscript "Distinctive signatures and ultrafast dynamics of Bronsted sites, silanol nests and adsorbed water in zeolites revealed by 2D-IR spectroscopy", Donaldson, Hawkins and Howe, Chemical Science, 2025
The FT-IR spectra are in .csv format
The 2D-IR spectra are in tab-separated variable format
Refer to the .txt 'notes' in the main folder and each sub-folder for further informationUKRI Future Leaders Fellowship grants (MR/S015574/1, MR/X011119/1)
UKRI-STFC programme access to CLF-ULTRA (LSF1828),
direct access to CLF-ULTRA (Apps 17330043 and 19130012)
A group residency in the UKRI Research Complex at Harwell (Donaldson, RCaH
In Situ SORS spectra of Historical Preservation Fluids in Sealed Containers
No full textIn situ Spatially Offset Raman Spectra of 46 historic sample measured at the Natural History Museum (London). The Raman spectra were collected using a handheld commercial SORS instrument (Resolve, Agilent Technologies, Oxfordshire, UK) through a historic jar unsing the matlab scrip presented below.
In Addition, the calibration dataset made of the different mockup solution is shared in separete dataset.
Three different datasets are provided consisting of the following:
1. SORS spectra of the 46 historica samples, pre-processed by external automatic routine (as described in the paper) (NHM-SORS-hystoric-data.csv)
2. SORS spectra o the 20 calibraion mock up soluion used for PCA analysis (CALIBRATION-DATASET-SORS-NHM.csv)
3. MATLAB scritp used to pre-procese the zero and offsed data extracted from Resolve and calculating the SORS spectra (sors-resolve-datascipt.docx
Random number generator ordering by extreme event probability calculations
No full textThis collection contains aggregated data used to investigate the effects of various random number generators on the quality and performance of extreme event simulations. The analysis was carried out using Quantum Dice's quantum random number generator (QRNG), the Mersenne Twister pseudo-random number generator (PRNG) and multiple linear congruential generators (LCG) in a sequential use case. All archives contain Snakemake workflows documenting the generation and evaluation process as well as simulation parameters. Jupyter notebooks within the archives demonstrate how to analyse the respective data.
Archives referencing a mass contain workflows and aggregated data for a system of masses loosely coupled by harmonic springs. The data is used to analyse the probability of extreme sagging of the system below a predefined tolerance, resulting in a failure condition. In addition the archive contains the sample notebook used to evaluate the data.
The archive referencing an SDE contains the collection of probabilities of a non-linear stochastic differential equation to evolve from a fixed initial position to an extremal configuration. The data consists of multiple workflows, each consisting of 100 repetitions of the SDE simulation for varying combinations of the threshold parameter and the number of trajectories simulated. A notebook used to compare the RNGs using the absolute approximation error is provided with the dataset
Data for "Heat-induced degradation of compressor performance on the Gemini laser at high repetition rate", A Sahoo et al
No full textData used to create plots shown in the published figure
Low energy phonons in single crystal ZrW2O8
No full textInelastic neutron scattering data on ZrW2O8 at several temperatures, in Horace software sqw format. Also Matlab m-file that can be used with these data files to generate plots from the paper of the same name as the submissio
Datasets and figures exploring VHEE on CLARA for manuscript titled: "Potential of CLARA Test Facility for VHEE"
No full textData and scripts used for the figures and analysis performed in the paper "Potential of CLARA Test Facility for VHEE". Input file for BDSIM and the elegant tracking code are included, along with a Mathematica notebook to recreate some of the plots used in the paper.ST/V001612/
Experimental and Computational Investigation of the Emission and Dispersion of Fine Particulate Matter (PM2.5) During Domestic Cooking - Dataset
No full textThis dataset contains the computational and experimental data for the STFC Air Quality Network project "Experimental Validation of Lagrangian Stochastic Methods Targeting Indoor Air Quality". In this project, 12 minute stir frying experiments were conducted in the DOMESTIC kitchen laboratory, and the spatial particulate matter (PM) concentrations during these experiments was measured using a range of low-cost sensors. The data from these experiments was then used as validation data for computational fluid dynamics simulations of stir frying in DOMESTIC, which were performed using the finite volume solver code saturne (version 8.0.3). Cases were run on the Scientific Computing Application Resource for Facilities (SCARF).
The experimental data includes the PM, humidity and temperature readings from the sensors, in the form of csv files, as well as the data from two anemometers (also as csv files), the experimental times and dates, and the cooking protocols, and a schematic of the kitchen laboratory along with a list of sensor locations. The computational data contains the setup and outputs for all cases. Full details can be found in the README files enclosed.
Licence applied to the data files: Creative Commons Attribution 4.0 International (CC-BY).
Licence applied to the software files: BSD 3-ClauseST/S005366/
Data for 'A scintillating fiber imaging spectrometer for active characterisation of laser-driven proton beams', J. K. Patel et al., High Power Laser Science and Engineering, 2024
No full textThis dataset contains the raw experimental data, relevant calibration data, source code, configuration files, simulation data and analysis scripts which are associated with the research published in the article 'A scintillating fiber imaging spectrometer for active characterisation of laser-driven proton beams', J. K. Patel et al., High Power Laser Science and Engineering, 2024.
The data are organised into Section datasets corresponding to sections of the main article to which the contained data are associated. Each Section dataset is organised to separate raw data, calibration data, configuration files, source code, analysis scripts (and intermediate analysis files) and generate figures. Each dataset also contains a dedicated README.txt file which describes the purpose and content of each of the files in the dataset in detail. The main article and associated supplementary material contain the details of the experimental and simulation setups and should be the main point of reference. The additional files 'fibre_readout.py', 'util.py' and '__init__.py' are used by other analysis scripts in multiple datasets, so are included just once in the root directory to avoid duplication.
The analysis scripts and interactive notebooks were run using Python 3.9.19 and the following additional packages are required throughout the analysis:
- numpy-1.24.3
- matplotlib-3.8.0
- pandas-2.0.3
- scipy-1.9.3
- scikit-image-0.19.3
- tifffile-2023.8.30
- uproot 4.3.7EPSRC grant numbers: EP/R006202/1, EP/V049232/1 and EP/P020607/1.
Laserlab-Europe grant agreement number 871124