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Biomimicking Zantedeschia Aethiopica
INP ABAQUS files used for the work described in the paper: Biomimicking Zantedeschia Aethiopica: a new generation of programmable 4D printed continuous flax fibre adaptive... -
Data for: A virtual experiment on pedestrian destination choice: the role of ...
Data from an online experiment on destination choice in pedestrians. Participants choose a sequence of locations to visit under different experimental conditions. Data consists... -
Uncertainty Quantification for Deep Learning in Ultrasonic Crack Characteriza...
Data, pre-trained networks and code to support "Uncertainty Quantification for Deep Learning in Ultrasonic Crack Characterization", published in IEEE Trans. Ultrason.... -
Meshes for Poole et al. Structural and Multidisciplinary Optimization, 65(81)...
Meshes and structural model needed to generate results in: Poole, D.J., Allen, C.B. and Rendall, T.C.S., "Efficient aeroelastic wing optimization through a compact aerofoil... -
Data for: Manufacture and buckling test of a variable-stiffness, variable-thi...
Data pertaining to the publication 'Manufacture and buckling test of a variable-stiffness, variable-thickness composite cylinder under axial compression' in AIAA journal -
BVI-CLEAR
BVI-CLEAR is a set of datasets for research on removing atmospheric turbulence distortion from images and videos. BVI-CLEAR contains two types of atmospheric turbulence... -
afferents-tactile-gratings-jrsi2022
Data from paper: Pestell N, Griffith T, Lepora NF. 2022 Artificial SA-I and RA-I afferents for tactile sensing of ridges and gratings. J. R. Soc. Interface 20210822. -
afferents-tactile-textures-jrsi2022
Supersedes DOI 10.5523/bris.1ugskiuvmlcmu2tn9682fwa36h Artificial SA-I, RA-I and RA-II/Vibrotactile Afferents for Tactile Sensing of Texture Data from paper: Pestell N, Lepora... -
Artificial SA-I, RA-I and RA-II/Vibrotactile Afferents for Tactile Sensing of...
Superseded by DOI 10.5523/bris.3ex175ojw0ckt25icp6g6p9j12 afferents-tactile-textures-jrsi2022 Data from paper published in Journal Royal Society Interface -
MuMiN
The MuMiN dataset is a challenging misinformation benchmark for automatic misinformation detection models. The dataset is structured as a heterogeneous graph and features... -
Domain Adapted Deep-Learning for Improved Ultrasonic Crack Characterization U...
Data associated with paper published in IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control entitled "Domain Adapted Deep-Learning for Improved Ultrasonic... -
A New Approach to Measuring Local Properties
Data for the paper of M.Turk et al on measuring local properties in enhanced preforms -
Adaptive real-time characterisation of composite precursors in manufacturing
Experimental data accompanying the paper of A.Koptelov et al on new testing framework -
Data for DLZ ratchet paper - ICRA-RAL 2022
Included here are data to support the paper: M. Garrad, M. Naghavi Zadeh, C. Romero, F. Scarpa, A.Conn, and J. Rossiter, Design and Characterisation of a Muscle-mimetic... -
IEA15MW_Bristol
This folder contains two YAML files corresponding to the two versions of the IEA15MW wind turbine, including updated blade models that are feasible and optimised. -
EPIC-KITCHENS-DIFF
A subset of the footage from EPIC-KITCHENS extracted in a special format for Neural-Diff analysis -
Data for suction cup paper - ICRA-RAL 2022
Data to support the paper: T. Yue, W. Si, AJ. Partridge, C. Yang, AT. Conn, H. Bloomfield-Gadêlha, J. Rossiter, A Contact-triggered Adaptive Soft Suction Cup, IEEE Robotics and... -
Strategies for guided acoustic wave inspection using mobile robots
Support data and codes for the paper entitled, Strategies for guided acoustic wave inspection using mobile robots, in PRSA 2021 -
BVI-DVC Part 1
Deep learning methods are increasingly being applied in the optimisation of video compression algorithms and can achieve significantly enhanced coding gains, compared to... -
Code for metabolic flux analysis
Code associated to "Understanding metabolic flux behaviour in whole-cell model output"
