Contributors: Kazuki Hayashi, Makoto Ohsaki
... There are four movie files in this dataset; "cylinder_opt.mp4" and "sphere_opt.mp4" are 3D illustrations of the optimization result of example 1 and 2 in the article, and "cylinder_reopt.mp4" and "sphere_reopt.mp4" are those of the modification, respectively.
Data for: Strain distribution of the anterolateral ligament during internal rotation at different knee flexion angles: A biomechanical study on human cadavers
Contributors: Jun Ouyang, Yibei Wang, Shiqi Li, Daorong Xu, Lei Qian, Chunyu Jiang, Peidong Sun, Maoqing Fu
... The datas are overall strain and sub-regional strain of the anterolateral ligament induced by tibial internal rotation at different knee flexion angles. The video is a dynamic display of strain distribution of the anterolateral ligament duiring internal rotation at 90° of knee flexion.
Data for: How to speak “geocentric” in an “egocentric” language: A multimodal study among Ngigua-Spanish bilinguals and Spanish monolinguals in a rural community of Mexico
Contributors: Evangelia Adamou, Stefano De Pascale, Erendira Calderón
... Responses to a localization task in Spanish and in Ngigua (Otomanguean).
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Contributors: Jacques Lengaigne
... Video sequences of microdroplets impacting on four surfaces of different wettability: - near-superhydrophilic surface (Video 1-A), sticking droplet - hydrophilic surface (Video 1-B), sticking droplet - hydrophobic surface (Video 1-C), bouncing droplet - superhydrophobic surface (Video 1-D), bouncing droplet. Impact sequences were analyzed using ImageJ-Trackmate plugin: - Example of impact on the superhydrophobic surface with single-particle tracking (Video 2) Experimental conditions: Wind speed: 10 m/s Operating temperature: 20 deg Celcius Captured on a Photron SA1.1 at 54000 fps. Video processing: background substraction. Video frame rate: 1 fps Scalebar: 100 micrometers Videos can be viewed online on youtube via the following link: https://www.youtube.com/playlist?list=PLmcZ2GRv9_bhySseXNuwONZLrvkuJ3aEg
Contributors: Cian Desmond, Florent Thiebaut, Jimmy Murphy
... An aluminium cross-section approximately 1 m in length was held between 2 flat plates connected to a movable carriage in a wave basin. Under still water conditions, the cross section was moved through the wave basin. Data were collected from an array of load cells in 6 DoF. This process was repeated for four cross sections, each at 4 angles of attack and 7 velocities. These data can be used for all research scientists and engineers working in the fields of fluid mechanics and hydraulics. The data may be used specifically for the validation of numerical models
Contributors: Mario R. Mata Arenales, Sujith Kumar C.S., Long-Sheng Kuo, Ping-Hei Chen
... High-speed visualization of the bubble dynamics. Four copper tubes were used: a) Sample 1 (Ra = 0.032 µm), (b) Sample 2 (Ra = 0.108 µm), (c) Sample 3 (Ra = 0.544 µm), and (d) Sample 4 (surface: Ra = 0.544 µm + hexagonal hydrophobic patterns: Ra = 0.318 µm). Second heat flux interval (~ 30 kW/m2) & fourth heat flux interval (~ 450 kW/m2). For visualization of the four samples during the second heat flux interval (see supplementary movie 1) and the fourth heat flux interval (see supplementary movie 2).
Contributors: Jan Sedlak
... The presented software for analysis of muscle coordination obtained during periodic movement is based on multi-channel surface EMG processing. Output data of software includes analysis of averaged SEMG profiles and muscle activity timing. The algorithm is available as MATLAB standalone executable application with free access. Attachment of zip file contain demo SEMG data of gait, running and rowing. Input data are imported into software in MAT-file or Comma-separated values format with a structure described in the attached user manual. This software could help to make multichannel SEMG analysis more time-effectively.
Contributors: Prashant Jha, Robert Lipton
... We share the data used in publishing the article "Numerical convergence of finite difference approximations for state based peridynamic fracture models", see https://doi.org/10.1016/j.cma.2019.03.024. The data set comprises of raw data produced by computational code, post-processed files, and python script files. We consider finite difference approximation of a nonlinear state-based peridynamic model. We run simulation for two problems. In the first problem, we have a square domain with verticle pre-crack originating from the middle of the bottom edge. We apply a constant velocity boundary condition along the horizontal axis on the bottom layer. In response to the boundary conditions, the crack propagates vertically. The data correspond to three different horizons, 2mm, 4mm, and 8mm. For each horizon, we have three results, each corresponding to mesh size horizon/2, horizon/4, and horizon/8. From the approximate displacement fields, we compute the rate of convergence with respect to mesh size, for each fixed horizon. These are post-processed data and can be found in "postprocessing" folder of Example 1. In the second problem, we consider a rectangle domain which is supported at two regions (left and right) near the bottom edge. On the portion of the top edge, we apply a monotonically increasing in time force in the downward direction. We run simulation when the sample has just one vertical pre-crack originating from the middle of the bottom edge and when the sample has two vertical pre-cracks symmetrically located and originating from the bottom edge. We plot the damage at multiple times and show that the crack propagates upwards in response to applied load. All computations are carried out using an in-house developed code. In this data set, we have not shared the computational code. However, we plan on making the code public in the future. If you are interested in our code and if you have some collaborative ideas please feel free to get in touch.
Contributors: Liam Brown
... 9.1 Video: Contains an edited video of the NIVALIS I prototype robot navigating in horizontal and vertical 150 mm pipes and navigating through an elbow with manual control. 9.2 Video: Contains an edited video of the FURO I prototype robot navigating through an elbow with manual control. 9.3 Video: Contains an edited video of the FURO II prototype robot navigating through an elbow with the autonomous elbow controller running.