This is the anonymised dataset for the publication: J. M. Such, J. Porter, S. Preibusch, A. Joinson. Photo Privacy Conflicts in Social Media: A Large-Scale Empirical Study. Accepted in ACM Conference on Human Factors in Computing Systems CHI, 2017. The Dataset contains over 1,000 multiparty privacy conflicts over co-owned photos in social media. For further details about the project, data, methods and procedures, please see the above paper. Please cite the paper if you use...

The data are divided in sub-projects where different systems were simulated with different force fields.CHARMM_: simulations run with the CHARMM36 force fieldAMBER_: simulations run with the AMBER FF99SB-ILDN force fieldOPLS_: simulations run with theOPLS-AA force fieldConformations_: ab initio (DFT-B3LYP & MP2) calculations on selected conformers_NV.tar.gz: simulations of neutral Asp in vacuo_ZW.tar.gz: simulations of zwitterionic Asp in water_NW.tar.gz: simulations of neutral Asp in water_ZV.tar.gz: simulations of zwitterionic Asp in vacuoThe simulations using force fields were run...

This datasets contains cardiac MRI images for 20 patients post-coarctation repair. For each patient 2 images of cardiac geometry, and 2-3 phase-contrast flow images are available. This data is suitable for pulse wave velocity measurements. All data is acquired under ethics 09-H0802-78 as approved by the London - Westminster research ethics committee, and has been fully anonymised.Related publication - Van Engelen, Arna, Silva Vieira, Miguel, Rafiq, Isma, Cecelja, Marina, Schneider, Torben, de Bliek, Hubrecht, Figueroa,...

This data contains the three-dimensional force and torque information recorded during palpation of a silicone phantom organ with hard nodules. The order of data is as follows: Force X, Force Y, Force Z (normal), Torque X, Torque Y, Torque Z.

This dataset contains electrocardiogram (ECG), photoplethysmogram (PPG), Impedance Pneumography (imp) and reference oral-nasal pressure (paw) signals acquired from young subjects (aged 18-39). Data were acquired for approximately 10 minutes while lying supine at rest. Following this subjects were asked to run on a treadmill (data are not provided from this period). Data were then collected during a second recording period whilst subjects recovered from the exercise, lying supine once again. An example of the signals...

RF data saved from two probes with synchronised acquisition using the ULA-OP system.Please cite as: Christensen-Jeffries, Kirsten; Brown,Jemma Brown; Aljabar, Paul; Tang, Mengxing; Dunsby, Christopher; Eckersley, Robert (2017) Synchronised dataset from two ULA-OP systems. King's College London. http://doi.org/doi:10.18742/RDM01-210

Additional experimental data not included in the main paper:Enrico Raffaele Fantoni, Diego Dal Ben, Simonetta Falzoni, Francesco Di Virgilio, Simon Lovestone and Antony Gee (2017), Design, synthesis and evaluation in an LPS rodent model of neuroinflammation of a novel 18F-labelled PET tracer targeting P2X7, EJNMMI Research, 7:31. DOI: 10.1186/s13550-017-0275-2

This dataset contains electrocardiogram (ECG), photoplethysmogram (PPG), Impedance Pneumography (imp) and reference oral-nasal pressure (paw) signals acquired from young subjects (aged 18-39) and elderly subjects (aged 70+). Data were acquired for approximately 10 minutes while lying supine at rest. This dataset is intended to facilitate evaluation of the performance of algorithms for estimation of respiratory rate (RR) from the ECG and PPG. It can also be used to evaluate the influence of technical and physiological...

EPSRC funded project to investigate machine learning based methods to use MR and Ultrasound data for motion analysis. Data acquired from healthy volunteers with ethics and consent. This project belongs to the CDT in Medical Imaging Project of the School of Biomedical Engineering & Imaging Sciences, King's College of London. The CDT in Medical Imaging Project has multiple sub-projects, and this one is called Multimodal analysis of cardiac motion and deformation. The dataset contains MR...

List of data files:WT_Input_Output.tar.gzE204A_Input_Ouput.tar.gzR111A_Input_Ouptut.tar.gzWT Trajectories (.dcd)E204A Trajectories (.dcd)R111A Trajectories (.dcd)The data are divided in three projects. WT: files related to the wild-type RDL receptor; E204A: files related to the Glu204Ala mutant;R111A: files related to the Arg111Ala mutant.The simulations were run with the NAMD 2.9 molecular dynamics package and the metadynamics PLUMED 1.3 plug-in. *_Input_Output.tar.gz contain the input and output files for each project for the simulations. Multiple files with the same extension are numbered in...

Additional experimental data not included in the main paper.

Raw data extracted from QM/MM-MD simulations to be used for free energy calculations. Figures of the resulting free energy profiles.Related publication: Patricia Saura, Reynier Suardiaz, Laura Masgrau, Àngels González-Lafont, Edina Rosta, and José M. Lluch (2017), Understanding the Molecular Mechanism of the Ala-Versus-Gly Concept Controlling the Product Specificity in Reactions Catalyzed by Lipoxygenases: a Combined Molecular Dynamics and QM/MM Study of Coral 8R-Lipoxygenase, ACS Catalysis. DOI: 10.1021/acscatal.7b00842

This research (DOI:10.1371/journal.pone.0184642) investigates if motion artefacts inherent in fabric-based sensing systems (e-textiles), can be exploited as an additional source of information in statistical classification tasks. The findings in the corresponding paper suggest that these artefacts can, in fact, be used to distinguish between similar motions, by exploiting additional information provided by the fabric motion. An experimental study is presented whereby factors of both the motion and the properties of the fabric are analysed in...

Image data acquired from clinical system of in vitro phantom

A collection of still images and alphanumeric lists. The data contained here was collected in support of the investigation into the synthesis of CuS nanocrystals in water. Included is the characterisation of both the starting metal complex and the resulting CuS nanocrystals, using mass spectrometry, absorption spectroscopy, transmission electron microscopy, selected area electron diffraction, X-ray diffraction, energy-dispersive X-ray spectroscopy and dynamic light scattering.Please cite as: Bergstrom Mann, Patrick; Fairclough, Simon; McGregor, Iain; Ma, Michelle; Hogarth,...