College of Science & Engineering
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The College conducts world class research toward enchancing our understanding of ourselves and our physical world. This same research may bring direct social and economic benefits to Britain and the wider world, often in quite unexpected ways, in areas far removed from the research domains that generated the original knowledge.
College of Science & Engineering
Image: Pillai, Rohit; Borg, Matthew; Reese, Jason. (2018). Acoustothermal atomization of water nanofilms, [dataset]. University of Edinburgh. School of Engineering. Institute of Multiscale Thermofluids. https://doi.org/10.7488/ds/2415. CC-BY
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EPCC
High Performance Computing
Recent Submissions
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Particle sizing for flowing colloidal suspensions using flow-differential dynamic microscopy
Dataset for "Particle sizing for flowing colloidal suspensions using flow-differential dynamic microscopy". Particle size is a key variable in understanding the behaviour of the particulate products that underpin much of ... -
The ecology of asynchronous asexual replication: Plasmodium berghei’s intraerythrocytic development cycle is resistant to host rhythms
Daily periodicity in the diverse activities of parasites occurs across a broad taxonomic range. The rhythms exhibited by parasites are thought to be adaptations that allow parasites to cope with, or exploit, the consequences ... -
Additional files for 'Using sound to understand protein sequence data: new sonification algorithms for protein sequences and multiple sequence alignments'
Supplementary data for Martin EJ, Meagher TR and Barker D, 'Using sound to understand protein sequence data: new sonification algorithms for protein sequences and multiple sequence alignments' (in prep.). See 'README.txt' ... -
"Detection of acquired radioresistance in breast cancer cell lines using Raman spectroscopy and machine learning" by Kevin Saruni Tipatet, Liam Davison-Gates, Thomas Johann-Tewes, Alistair Elfick, Björn Neu and Andrew Downes.
Data set from research article "Detection of acquired radioresistance in breast cancer cell lines using Raman spectroscopy and machine learning" by Kevin Saruni Tipatet, Liam Davison-Gates, Thomas Johann-Tewes, Alistair ... -
Impact of the COVID-19 Lockdown on the Electricity System of Great Britain: A Study on Energy Demand, Generation, Pricing and Grid Stability
This dataset is published in relation to the preprint titled "Impact of the COVID-19 Lockdown on the Electricity System of Great Britain: A Study on Energy Demand, Generation, Pricing and Grid Stability" which is accepted ... -
SFARI Genes and where to find them; classification modelling to identify genes associated with Autism Spectrum Disorder from RNA-seq data
Abstract Motivation: Autism spectrum disorder (ASD) has a strong, yet heterogeneous, genetic component. Among the various methods that are being developed to study it, one that is gaining popularity is the incorporation ... -
Agronomic trait and floral resource data
Mass-flowering crops, such as oilseed rape (OSR; Brassica napus), provide pulses of nectar and pollen helping to support pollinators and their pollination services, in agricultural landscapes. Despite their value to ... -
Datasets of journal paper "Arduino-Based Myoelectric Control: Towards Longitudinal Study of Prosthesis Use"
This dataset comprises the mean absolute value (MAV) to draw Figure 6 and the normalized MAV to draw Figure 7 in paper "Arduino-Based Myoelectric Control: Towards Longitudinal Study of Prosthesis Use". -
multimodal TRIPOD
The data contain multimodal features extracted for the TRIPOD dataset and used in the AAAI 2021 paper "Movie Summarization via Sparse Graph Construction". The data contain 122 pickle files, each one corresponding to a movie ... -
Biorobot log data for visual navigation with transverse oscillating route following (TORF)
The purpose of this work was to develop a flying robot that can navigate using a bee-inspired visual route following approach. To this end we performed several missions in which an aerial robot with an onboard camera and ... -
The Impact of Climate Change and Climate Extremes on Sugarcane Production
We combine the Soil-Plant-Atmosphere model with detailed timeseries measurements from experimental sugarcane plots in Guangxi, China, and São Paulo State, Brazil. We first calibrated and validated modelled carbon and water ... -
Test Structure for Measuring the selectivity in XeF2 and HF Vapour Etch Processes
Etch selectivity between layers is an important parameter in the fabrication of microelectronic and microsystems. This is particularly true in the case of isotropic gas/vapour etching methods used to release free standing ... -
Radio frequency-chain selection for energy and spectral efficiency maximization in hybrid beamforming under hardware imperfections
This dataset contains MATLAB functions to plot the main results for the following paper: Evangelos Vlachos, John Thompson, Aryan Kaushik and Christos Masouros,"Radio frequency-chain selection for energy and spectral ... -
Synthetic data and code for "Bayesian geophysical inversion using invertible neural networks"
This dataset contains the synthetic data and codes used to generate those data for manuscript "Bayesian geophysical inversion using invertible neural networks". Xin Zhang's ORCID is: https://orcid.org/0000-0003-0344-1453 -
Synthetic IR data for the Attia et al. (2020) battery dataset
Data was produced to accompany the paper Strange et al. (2020, Nov): Calum Strange, Shawn Li, Richard Gilchrist and Goncalo dos Reis, 2020 Nov, 'Predicting capacity and internal resistance of Li-ion cells: A machine ... -
Source data and scripts for "Intein-assisted bisection mapping systematically splits proteins for Boolean logic and inducibility engineering"
Split inteins are powerful tools for seamless ligation of synthetic split proteins. Yet, their use remains limited because the already intricate split site identification problem is often complicated by the requirement of ... -
Archival Metadata Descriptions from the University of Edinburgh Centre for Research Collections - Extracted October 2020
The dataset includes metadata descriptions extracted from the Centre for Research Collections' online archival catalog using OAI-PMH EAD harvesting. Metadata descriptions were extracted from four metadata fields: an ... -
Listening-test materials for "Where do the improvements come from in sequence-to-sequence neural TTS?"
This data release contains listening-test materials associated with the paper "Where do the improvements come from in sequence-to-sequence neural TTS?", presented at SSW10 (the 10th ISCA Speech Synthesis Workshop) in Vienna, ... -
Supplemental data table for Isolating lithologic versus tectonic signals of river profiles to test orogenic models for the Eastern and Southeastern Carpathians
This dataset contains a table of Schmidt Hammer data points acquired during a field campaign in the Eastern Carpathians in 2018. It is a supplemental material to the manuscript Isolating "lithologic versus tectonic signals ... -
Image data of pyrenoids in Chlamydomonas and proto-pyrenoid condensates in higher plant chloroplasts
A collection of image data from the manuscript 'Condensation of Rubisco into a proto-pyrenoid in higher plant chloroplasts' by Nicky Atkinson, Yuwei Mao, Kher Xing Chan and Alistair J. McCormick. The .zip file contains raw ...
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