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 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...

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 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...

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...

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...

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...