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Supporting data for "Residential Damp Detection with Temperature and Humidity...
Project contains humidity and temperature readings from inside a building during a short research project conducted in 2017 in Bristol. -
Supporting data for "A ground investigation to inform earthquake hazard asses...
Supporting data for "A ground investigation to inform earthquake hazard assessment in the Kathmandu Valley, Nepal" Paper to be presented at the XVII European Conference on Soil... -
Data from Continuous Contact Sensing with a Soft Biomimetic Tactile Sensor
Data associated with the ICRA 2019 publication "Continuous Contact Sensing with a Soft Biomimetic Tactile Sensor" -
Supporting Data for "Optimal simultaneous measurements of incompatible observ...
EPSRC fellowship project Data will include electromagnetic simulations, raw spectroscopic data, processed data and details of processing code. -
Data from Pellicular Soft Robots (02-2019)
This data supports the research article "Pellicular Morphing Surfaces for Soft Robots." -
Data from Stretchable Piezoelectric Sensing Systems for Self-powered and Wire...
Data related to the design, simulation models and experiments. -
Electronic appendix to Automated Classification of Near-Fault Acceleration Pu...
This dataset supersedes the previous published version at doi: 10.5523/bris.1wc9d21lbd5fr2mvhng72zpyj3. This study proposes a new algorithm for automatically classifying two... -
Data from t-RES EP/R00742X/1 (02-2019)
Data repository for Resilience of National Transport Networks to Flood-induced Bridge Failures, EP/R00742X/1 The focus of this research is the vulnerability of... -
Electronic appendix to Automated Classification of Near-Fault Acceleration Pu...
This dataset has been superseded by version 2, at doi:10.5523/bris.3u7wmvffczr162ejyzn51zvy85 GENESIS tackles the global challenge of modelling interacting... -
Data from SABRE H2020 (09-2018)
SABRE is an EU funded H2020 project researching Shape Adaptive Blades for Rotorcraft Efficiency. The goal is to develop morphing structures and analysis methods to optimise the... -
Data from DEA resonator flapping MAV (01-2019)
This project supports a journal paper published in Frontiers in Robotics and AI, which describes a dielectric elastomer actuator (DEA) driven artificial thorax for... -
Supporting Data for ‘Influence of bar diameter on low-cycle fatigue degradati...
Low-cycle fatigue tests were performed on reinforcing bars with various slenderness ratios and strain amplitudes. Related to the following paper: Kashani, M. M., Cai, S., Davis,... -
Data from paper "On the role of localisations in buckling of axially compress...
Data and figures underlying the publication "On the role of localisations in buckling of axially compressed cylinders" -
VIL: Synthetic Video Texture Dataset - SynTex
This dataset contains 186 Full High Definition (FHD) video texture sequences at 60fps and in YUV 4:2:0 format. The dataset was created using Unreal Engine Software UE4 and it... -
Fibre direction and stacking sequence measurement
The data is related to the following publication: Fibre direction and stacking sequence measurement in carbon fibre composites using Radon transforms of ultrasonic data. By L.... -
Kuhnel, Rossiter, Faul - Laser-scribed Graphene Oxide Electrodes for Soft Ele...
Additional data - Laser-scribed Graphene Oxide Electrodes for Soft Electroactive Devices -
Data from Electro-origami SciRob 2018 (12-2018)
Support data for Science Robotics paper: Electro-ribbon actuators and electro-origami robots Taghavi M, Helps T, Rossiter J Science Robotics, December 2018 -
M21-IMA Thermal Properties
This data was obtained and analysed according to the methods described in the paper "Heat transfer simulation of the cure of thermoplastic particle interleaf carbon fibre epoxy... -
Data from EuMoBot
This project supports a journal paper submission on the EuMoBot, a multi-segment soft robot inspired by the large body deformations of the eugloenoid. This paper describes the... -
Sphere House Network Performance (Open data)
Data from the SPHERE House referenced in the paper "TSCH Networks for Health IoT: Design, Evaluation and Trials In The Wild". This subset is published as open data.