Data to accompany "Integrated native mass spectrometry imaging of soluble and membrane proteins"

Mass spectrometry data to accompany "Integrated native mass spectrometry imaging of soluble and membrane proteins" including mass spectra, mass spectrometry imaging data, and tandem mass spectr

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

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 "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

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

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: Mass spectrometry reveals the evolutionary conservation of phycobiliprotein complexes

Data to accompany manuscript entitled: Mass spectrometry reveals the evolutionary conservation of phycobiliprotein complexes. The data includes native mass spectrometry data acquired on an Orbitrap Eclipse Tribrid mass spectrometer and absorbance spectroscopy data. Abstract: Cyanobacteria are a highly taxonomically and ecologically diverse group of oxygenic phototrophs that have colonized many different environments on our planet. Despite their differences, almost all cyanobacteria rely on highly efficient light-harvesting protein complexes, termed phycobilisomes, for effective photosynthesis. Phycobilisomes, along with the phycobiliproteins that make them up, have maintained their function throughout evolutionary history while also diversifying to optimize energy capture and transfer in different conditions. Here, we use a combination of evolutionary proteomics, phylogenomics, and structural bioinformatics to probe how phycobiliproteins have maintained their function while adapting to different habitats. Using high-resolution native mass spectrometry, we show that the two most abundant phycobiliprotein complexes, phycocyanin and allophycocyanin, are highly dynamic. Moreover, upon mixing phycobiliproteins from cyanobacterial strains representing diverse environments and evolutionary lineages, heterologous phycobiliprotein complexes rapidly form, comprising building blocks from different cyanobacterial strains. Bioinformatics and structural prediction methods allow us to identify critical residues involved in these interactions. We thus demonstrate that key structural features within the phycobiliprotein components have remained conserved over three billion years of cyanobacterial evolution, ensuring effective photosynthesis across a wide variety of natural environments

Video Footage - Masla s Kuzminom - Butter with Kuzmin

Practice-research recording of the August 2024 production of Masla s Kuzminom - Butter with Kuzmin performed at the Salt Lake City Library in Salt Lake City, UT (USA)

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

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