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Networked Digital Music Performance of Netronomia II
No full textNetronomia II, led by Kenneth Fields at Beijing's Conservatory of Music, utilises the Netronome—a networked metronome developed at UCSB—to synchronise multi-city performances despite latency variations. The project reimagined musical collaboration by linking dispersed performers (Wuhan, Beijing, Inner Mongolia) through latency-adjusted circle scores modeled after Beijing’s ring roads. This created a decentralised ecosystem where each node preserved its unique rhythmic identity (30–40ms offsets generating distinct "toporhythms"). Musicians could choose unconventional sound sources (vocal percussion, MIDI controllers) rather than conforming to standardised parts
(Supplementary data) - Is predictability of randomisation a historic concern: A survey of practice of recruiters to randomised controlled trials
No full textSupplementary data for publication of the results of a survey:
Randomisation in randomised controlled trials (RCTs) is intended to guard against selection bias by creating unpredictable sequences. Some randomisation methods, however, aim to achieve better balance between groups being compared at the expense of predictability. This study aims to investigate the extent to which recruiters into RCTs attempt to predict upcoming allocations, hence how concerned trialists should be about using more predictable randomisation methods
BRIGhTMIND THINC-it Statistical Analysis Plan
Full text linkThis is the statistical analysis plan for pre-processing of the THINC-it cognitive task data from the BRIGhTMIND clinical trial, as well as for analyses that will be reported in the NIHR Efficacy and Mechanism Evaluation (EME) report to funder. Details about the trial itself can be found in the main trial protocol paper (Morriss et al., 2020, doi: 10.1136/bmjopen-2020-038430)
Raw data for new compounds described in the paper "Synthesis of S-Allylic Sulfinamides by the Catalytic Nucleophilic Allylation of N-Sulfinylamines"
No full textRaw data for new compounds described in the paper "Synthesis of S-Allylic Sulfinamides by the Catalytic Nucleophilic Allylation of N-Sulfinylamines
Fluidic Levitation of bubbles, drops and solid spheres
No full textExamples of Movies and data collected from the levitation of small objects in a fluid flo
Nematode surface chemistry dataset
No full textThis dataset contains surface chemistry profiles of wild-type Caenorhabditis elegans (N2) and Pristionchus pacificus (PS312), along with their respective daf-22 mutant strains (C. elegans DR476 and P. pacificus RS2770/RS5204), each captured in biological replicates (n = 9). Data were collected using 3D-OrbiSIMS mass spectrometry with an argon gas cluster ion beam (Ar3000+, 20 keV) for surface sputtering and an Orbitrap analyser for high-resolution detection (mass resolving power >240,000 at m/z 200). Surface analysis was confined to the outermost ~50 nm, enabling detailed profiling of species-specific and developmentally regulated lipid compositions. This dataset supports research into nematode physiology, lipid metabolism, and interspecies interactions
Raw data for new compounds described in the paper "Gold(I)-Catalyzed Nucleophilic Propargylations of Azinium Ions via Hydroxydihydroazine Intermediates"
No full textRaw data for new compounds described in the paper "Gold(I)-Catalyzed Nucleophilic Propargylations of Azinium Ions via Hydroxydihydroazine Intermediates
Raw data for "Direct synthesis of an iron metal-organic framework antiferromagnetic glass"
No full textMagnetic susceptibility data
Monte Carlo simulation results
Neutron diffraction data
+ associated analysis script
Bioinstructive Polymer Fibre Mats to Reduce Bacterial Pathogen Colonisation
No full textData repository for raw and processed data associated to manuscript titled 'Bioinstructive Polymer Fibre Mats to Reduce Bacterial Pathogen Colonisation
Smruti Ranga and DigiTable digital scores
No full textThe workshop led by Sandeep Bhagwati and his technical team centered around two digital scores designed to bridge traditional Indian classical music with contemporary technology. The workshop examined two digital scores—Smruti Ranga, composed by Sandeep Bhagwati, and DigiTabla, created by tabla performer and composer Shawn Mativetsky—which merge Indian classical music with interactive technology. Through collaborative experimentation, musicians engaged with the digital scores to rethink improvisation, notation, and ensemble dynamics. Designed for trained Indian musicians, these scores utilised North Indian Sargam notation while incorporating generative algorithms and colour-coded visual elements to guide the performance. The system presents short raga-derived phrases (yellow) and directives (green) that musicians interpret in real-time, creating a dynamic interplay between fixed structures and open improvisation. Unlike traditional performances that typically follow set forms or teacher-student dynamics, these digital scores encourage collaborative experimentation among multiple musicians, including both vocalists and instrumentalists, while maintaining connections to classical frameworks