eData: the STFC Research Data Repository

Welcome to eData, the digital archive that collects, preserves, and makes available research data produced or collected by STFC staff.

Departments in eData

Select a department to browse its collections.

ASTeC
Accelerator Science and Technology Centre
CLF
Central Laser Facility
Hartree Centre
The Hartree Centre
ISIS
ISIS Neutron and Muon Source
NQCC
National Quantum Computing Centre
PPD
Particle Physics Department
RAL Space
RAL Space
SCD
Scientific Computing Department
Technology
Technology Department
UKATC
United Kingdom Astronomy Technology Centre

Recent Submissions

Long-term Continuous Monitoring of Methane Emissions at an Oil and Gas Facility using a Multi-open-path Laser Dispersion Spectrometer

(2023-12-01) Weidmann, Damien

A method for methane emissions monitoring at industrial facility level was developed based on a high precision multi-open-path laser dispersion spectrometer. This dataset contains the methane path-averaged concentrations spatially distributed over the facility under study, together with local meteorology data. The dataset contains 3 months of continuous (24h/7d) measurements at an operational gas processing and distribution facility. Files are in the NetCDF format. Each files contains the same 8 variables: - TIME_STAMP_DAYS - The time stamp for each measurement expressed in Julian Days. - CH4_CONC_PPM - The path averaged methane concentration in ppm. - CH4_CONC_ERROR_PPM - The measurement random error on the path integrated methane concentration in ppm. - PRESS - The local atmospheric pressure in Torr. - TEMP - The local atmospheric temperature in K. - WIND_DIR_DEG - The local wind direction in degrees from true North. - WIND_MAG_M_S - The local wind velocity magnitude in m/s. - RETRO_ID - ID integer identifying the retro-reflector used for a particular open-path.

Datasets and figures exploring x-ray imaging performance analytically for manuscript titled: "X-ray detector requirements for laser-plasma accelerators"

(2023-12) Armstrong, C. D

Data used in each figure for the manuscript titled: "X-ray detector requirements for laser-plasma accelerators". Figure files are each self contained .py scripts requiring Python version 3.8.5+, and standard scientific libraries Numpy, Matplotlib and Scipy to execute the scripts. Relevant cross-section/spectral data is included for persistent plotting as well as analytical functions described in the manuscript.

Data Supporting - Simulating micelle self-assembly to assess potential for viscosity build in surfactant formulations

(2023-11-18) Anderson, Richard

.agr files corresponding to figures 4, 5, 6, 7 and 8 in the published article. These .agr files can be used to plot the observed behaviours in Xmgrace. Each .agr file contains the raw data in the plots and this can be extracted for use in other plotting algorithms. .csv file containing the data presented in table 3 in the published article.

Access to the full 3D Brillouin zone with time resolution, using a new tool for pump-probe ARPES

(2023-09-28) Majchrzak, Paulina; Zhang, Yu; Kuibarov, Andrii; Chapman, Richard; Wyatt, Adam; Springate, Emma; Borisenko, Sergey; Büchner, Bernd; Hofmann, Philip; Sanders, Charlotte

Data presented in figures of manuscript "Access to the full 3D Brillouin zone with time resolution, using a new tool for pump-probe ARPES," also available as preprint at https://arxiv.org/abs/2309.11535 . Generated during Artemis commissioning beamtime 22325000, April-May 2021, using Fermiologics FeSuMa analyzer for pump-probe ARPES measurements on the Artemis Red Dragon 1-kHz beamline.

Outgassing Measurements for "Lightweighting large optomechanical structures in astronomy instrumentation utilising generative design and additive manufacturing"

(2023-09-19) Wells, James; Westsik, Marcell; Chahid, Younes; Macleod, Alastair; Kotlewski, Richard; McPhee, Scott; Orr, Jonathan; Pimentel Espirindio e Silva, Misael; McKegney, Scott; Cochrane, William; Breen, Ciarán

Dataset contains raw text files from outgassing measurements of Wire-Arc Additive Manufactured (WAAM) samples presented in the conference paper "Lightweighting large optomechanical structures in astronomy instrumentation utilising generative design and additive manufacturing" (SPIE Optomechanical Engineering 2023) Files contain the pressure and temperature measurements used to calculate outgassing rates for the WAAM samples. For details of the analysis see the paper and the associated GitHub repository. README contains information on raw file format.

Demonstrations of fast approximate variable-width broadening

(2023-09) Jackson, Adam; Farmer, Jessica

We have developed a fast approximate method of applying variable-width broadening to spectral data. This dataset contains demonstration scripts which generate the plots for a related academic manuscript. They also reproduce the parametrisation of polynomial fits to the relationship between the approximation error and the scale factor between broadening kernels used in the method. Some of the scripts use the implementation in the Euphonic library: to reproduce published results use Euphonic v1.3.0 - https://pace-neutrons.github.io/Euphonic/versions/v1.3.0.html - https://github.com/pace-neutrons/Euphonic/releases/tag/v1.3.0 Most of the scripts are written in Python. One Bash shell script is also included which needs to call the euphonic-powder-map program included in the Euphonic package. A Makefile is provided so that all plots can be generated with "make plots" using GNU Make. .yaml datafiles were derived from data in the Kyoto phonon database ("phonondb") under a CC-by license: the Phonopy calculation directories were downloaded and Phonopy was run with =--include-all= and =--nac= options to create .yaml files containing all the information needed by Euphonic.

SORS spectra of COVID-19 Vaccine

(2023-09-15) Mosca, Sara; Matousek, Pavel

Spatially Offset Raman Spectra of 45 genuine covid-19 vaccines, and surrogates for potential and intercepted falsified vaccines . The Raman spectra were collected using a handheld commercial SORS instrument (Resolve, Agilent Technologies, Oxfordshire, UK)

Microfluidics and Nanofluidics journal article - "Numerical investigation of transmission probability characteristics in the first low-density region of a laser wakefield accelerator"

(2023) John, Benzi

Relevant data supporting the manuscript "Numerical investigation of transmission probability characteristics in the first low‑density region of a laser wakefield accelerator" submitted to the Microfluidics and Nanofluidics journal (accepted for publication in July 2023).

CAD files from "Lightweighting large optomechanical structures in astronomy instrumentation utilising generative design and additive manufacturing"

(2023-07-06) Atkins, Carolyn; Wells, James T.; Westsik, Marcell; Chahid, Younes; Mcleod, Alastair; Bissell, Lawrence; Kotlewski, Richard; McPhee, Scott; Orr, Jonathan; Pimentel, Misael; Cochrane, William; Breen, Ciarán

Files contain .step files for the topology-optimised design and the varied wall thickness design. These designs are detailed in the paper submitted to SPIE Optomechanical Engineering 2023 titled "Lightweighting large optomechanical structures in astronomy instrumentation utilising generative design and additive manufacturing"

CAD file dataset of the ISAAC AM petal re-design project

(2023) Westsik, Marcell; Wells, James T.; Chahid, Younes; Morris, Katherine; Milanova, Maria; Beardsley, Mat; Harris, Michael; Ward, Lucas; Alcock, Simon G.; Nistea, Ioana-Theodora; Atkins, Carolyn

This dataset contains the .STL files of the Graph and TPMS Additively Manufactured petals. For both designs, an "As Printed" and an "As Postprocessed" version is included. These designs are detailed in the paper submitted to SPIE titled "From design to evaluation of an additively manufactured, lightweight, deployable mirror for Earth observation".