Research Data Supporting Engaging the Heritage Community to Validate Proposed System Requirements for HBIM

Raw anonymised survey data, blank participant Information sheet and consent form, and the blank questionnaire

Research data supporting "Analysis of the cation disorder in CaAlSiN3 inorganic phosphor host crystal for solid-state lighting applications"

Dataset containing raw data (Cluster Expansion, Monte Carlo simulations, and VASP output files) and Python code (jupyter notebooks) used for the analysis of the results discussed in the report. “Files” folder contains data related to representative structures. “relaxed structures” and “data” folders contain POSCARs and energies, respectively, for the CE training set structures.”MC_7_4_50” contains data containers from Monte Carlo simulations

Research data supporting the publication "Bacterial Cell Membrane Models: Choosing the Lipid Composition"

This dataset contains the data for the results presented in this publication on model bacterial cell membranes. The measurements included: pressure-area isotherm data, electrochemical data and infrared spectroscopy (PM-IRRAS) data for bilayers, Brewster Angle Microscopy (BAM) data for monolayers, Grazing Incidence X-ray Diffraction (GIXD) and X-Ray Reflectivity (XRR) data for monolayers and Neutron Reflectivity (NR) data for monolayers

RAAC Similarity Tool v1

This dataset represents version 1.0 of the RAAC Similarity Tool, developed during a C-DICE industrial secondment in collaboration with the University of Birmingham, Imfuna Ltd, and Loughborough University. Funded by C-DICE and Imfuna Ltd, the tool enables browser-based analysis of RAAC panel similarities using interactive charts and local data processing. Designed for internal research and limited commercial use, it features a responsive interface, real-time analysis, and password-protected access. This version reflects the private GitHub repository at the time of deposit and serves as the official reference for reproducibility. Future updates may continue on GitHub under the project lead’s management

Research data supporting the publication "Has UK Capitalism Transformed? Reassessing Surplus-Value Distribution and Unproductive Labour"

We introduce an ‘Economic Productive Labour Classification System’, which distinguishes unproductive (UL) from productive labour (PL), combining ONS macroeconomic data and socioeconomic micro-datasets. This enables the first detailed estimation of the surplus-value (SV) rate and labour exploitation for the UK

Raw Dataset for the Publication "Supramolecular Recognition of a DNA Four Way Junction by an M2L4 Metallo-cage, Inspired by a Simulation-Guided Design Approach"

Original NMR, mass spec, UV, fluorescence, IR, gel, MST and MD data. Videos of representative MD simulations are also included

Research data supporting the publication 'Error-Correction Learning of Second Language Verbal Morphology: Associating Imperfect Contingencies in Naturalistic Frequency Distributions'

The data were collected to test predictions derived from a computational modelling study of Polish aspect acquisition. This online language intervention study involved two training conditions: Grammatical and Lexical. Eighty native English speakers participated, with half assigned to each group. The intervention consisted of three training sessions followed by a posttest. Stimuli were based on frequency patterns observed in natural language. In addition to the aspect training, participants completed a series of memory and learning tasks

Raw Dataset for the Publication "Supramolecular Recognition of a DNA Four Way Junction by an M2L4 Metallo-cage, Inspired by a Simulation-Guided Design Approach"

Original NMR, mass spec, UV, fluorescence, IR, gel and MD data. Videos of representative MD simulations are also included

Research data supporting "Validity of smartphone sensors to assess selected kinetic and kinematic outcomes during single-leg landing stabilization tasks"

Time of flight, trunk acceleration, and trunk orientation during landing stabilization exercises on dominant and non-dominant leg, extracted from smartphone sensors

Research data supporting the publication "Establishing the reliability of a Functional Performance Test Battery that incorporates the QASLS tool in pre-elite female field hockey players"

Supplementary Materials File