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464 results for “Kinematics”
Multimodal video and IMU kinematic dataset on daily life activities using affordable devices (VIDIMU)
<p>Human activity recognition and clinical biomechanics are challenging problems in physical telerehabilitation medicine. However, most publicly available datasets on human body movements cannot be used to study both problems in an out-of-the-lab movement acquisition setting. The objective of the VIDIMU dataset is to pave the way towards affordable patient tracking solutions for remote daily life activities recognition and kinematic analysis. </p> <p>The VIDIMU dataset includes 54 healthy young adults that were recorded on video and 16 of them were simultaneously recorded using custom IMUs. For each subject, 13 activities were registered using a low-resolution video camera and five Inertial Measurement Units (IMUs). Inertial sensors were placed in the lower or the upper limbs of the subject, respectively for activities that involve movement with the lower or the upper body. Video recordings were postprocessed using the state-of-the-art pose estimator <em>BodyTrack</em> (similar to OpenPose, and included in NVIDIA Maxine-AR-SDK) to provide a sequence of 3D joint positions for each movement. Raw IMU recordings were post-processed to compute joint angles by inverse kinematics with <em>OpenSim</em>. For recordings including simultaneous acquisition of video and IMU data types, these signals were used for data file synchronization. Collected data can be further used in applications related to human activity recognition and biomechanics related experiments in simulated home-like settings.</p> <p> </p> <p> </p>
DEM and associated kinematic GPS coordinates of September 2009 survey of the salar de Uyuni, Bolivia
<p>This dataset consists of two parts: 1) the post-processed kinematic GPS coordinates of a September 2009 survey of a 45 x 54 km region of the salar de Uyuni, Bolivia. 2) a digital elevation model (DEM) of the salar de Uyuni surface derived from those kinematic GPS data.</p> <p>Details of the survey design are identical to that from an earlier survey in 2002 and can be found in the manuscript, "Topography of the salar de Uyuni, Bolivia from kinematic GPS" (doi: 10.1111/j.1365-246X.2007.03604.x). The DEM is described in the manuscript "A Terrestrial Validation of ICESat Elevation Measurements and Implications for Gloval Reanalysis" (doi: 10.1109/TGRS.2019.2909739). The DEM was generated from fitting two-dimensional Fourier basis set with parameters: L_x = L_y = 70000 meters, m = n = 10. This results in a basis set with a nominal resolution of 7 km.</p> <p>The attached "salar_de_uyuni_2009_dem" files duplicate Figure 1 from the authors' "A terrestrial validation of ICESat elevation measurements and implications for global reanalyses," whose caption is: </p> <p>Landsat image of the salar de Uyuni, showing ICESat tracks 85, 241, 360 and 1320 (red) and the GPS-derived DEM from 2009 (color-coded with respect to mean elevation). The portion of each track plotted in Figure 2 is boxed in black. Total relief on the GPS DEM is less than 1 m over 50 km.</p>
Volunteer kinematics from emergency lateral maneuvers, taken from van Rooij et al, 2013
<p>This data was extracted by the author as part of the OSCCAR project from the publication: </p> <p>Van Rooij, L., Elrofai, H., Philippens, M. M. G. M., & Daanen, H. A. M. (2013). Volunteer kinematics and reaction in lateral emergency maneuver tests. Stapp car crash journal, 57, 313 </p> <p>It is being made available to aid in the validation of Human Body Models.</p> <p>If you use this data, please cote the original paper.</p> <p>A model is available on request from the author of this upload, at Siemens Industry Software Netherlands BV. Modelling information regarding the experimental setup is also available in the public OSCCAR deliverable D3.2.</p>
Global kinematics of tectonic plates and subduction zones since the late Paleozoic Era
<div>Global kinematics of tectonic plates and subduction zones since the late Paleozoic Era</div> <div> </div> <div>Alexander Young(1), Nicolas Flament(1), Kayla Maloney(2), Simon Williams(2), Kara Matthews(2), Sabin Zahirovic(2), Dietmar Müller(2,3)</div> <div> </div> <div>1. The University of Wollongong, NSW 2522, Australia </div> <div> </div> <div>2. EarthByte Group, School of Geosciences, The University of Sydney, NSW 2006, Australia</div> <div> </div> <div>3. Sydney Informatics Hub, The University of Sydney, NSW 2006, Australia </div> <div> </div> <div>Contact: ajy321@uowmail.edu.au</div> <div> </div> <div> </div> <div>Supplementary Material</div> <div> </div> <div>We provide the digital plate model files (including rotations and geometries). These files allow for the visualisation and/or manipulation of the late Paleozoic to present-day (410-0 Ma) global plate motion model presented in this study. </div> <div> </div> <div>#########################################</div> <div>The digital plate model files are compatible with the open-source GPlates plate reconstruction software (<a href="https://www.gplates.org" target="_blank" rel="noopener">www.gplates.org</a>):</div> <div> </div> <div>(1) Rotations - Global rotation model that contains the reconstruction poles that describe the motions of the continents and oceans.</div> <div>- <strong>Global_250-0Ma_Young_et_al.rot</strong> (455 KB)</div> <div>-<strong> Global_410-250Ma_Young_et_al.rot</strong> (154 KB)</div> <div> </div> <div>(2) Plate polygons and boundary geometries - Topologically closed plate polygons are constructed from the intersection of ridges, transforms, subduction zones and other plate boundary geometries. These 'resolved topologies' are defined at 1 Myr intervals (410-0 Ma). The plate boundary geometries and plate polygons have been assigned plate reconstruction IDs to allow them to be reconstructed using the supplied rotation file.</div> <div>- <strong>Global_Mesozoic-Cenozoic_plate_bounds_Young_etal.gpml</strong> (36.5 MB)</div> <div>- <strong>Global_Paleozoic_plate_bounds_Young_etal.gpml</strong> (6.7 MB)</div> <div>- <strong>TopologyBuildingBlocks_Young_etal.gpml</strong> (2 MB) - this file is identical to Müller et al. (2016)</div> <div> </div> <div>(3) Coastlines - Geometries of the present-day coastlines.</div> <div>- <strong>Global_coastlines_Young_et_al_low_res.shp</strong> (1.2 MB including auxiliary files, datum-WGS 1984)</div> <div> </div> <div>(4) Static polygons (optional) - Includes ocean isochron and terrane polygon geometries.</div> <div>- <strong>GlobalPresentDay_SPP_Young_etal.shp</strong> (1.4 MB inc. auxillary files, datum-WGS 1984)</div> <div> </div> <div>(5) Continental polygons (optional) - Includes continental terrane polygon geometries and excludes oceanic lithosphere.</div> <div>- <strong>PresentDay_ContPolygons_Young_etal.shp</strong> (451 KB inc. auxillary files, datum-WGS 1984)</div> <div> </div> <div>GPlates: </div> <div>To view the model, load all files in GPlates (either drag and drop files onto the globe OR from the navigation bar at the top of the screen click File -> Open Feature Collection and select files). Both rotation files (1) and each of the three plate geometry files (2) need to be loaded for the model to work properly. It is recommended that coastlines (3) are loaded to see how the continents move, however only one coastline file is necessary (.gpml or .shp). The static polygons (4) and continental polygons (5) are optional. </div> <div> </div> <div>The two rotation files need to be 'connected' in order for the model to run continuously from 410 to 0 Ma. In the GPlates 'Layers' window (opened from the main navigation bar, click 'Window' -> 'Show Layers') the rotation files will be highlighted yellow, yet only one will have a yellow tick next to it to signify it is being used. Click the small black triangle to the left the ticked rotation file. Under 'Inputs' -> 'Reconstruction features' click 'Add new connection' and then select the other rotation file from the list of files that will appear. This will ensure that both rotation files are active. </div> <div> </div> <div>Finally, it is recommended to experiment with geometry visibility in order to make the globe less cluttered. For instance, from the navigation bar click View -> Geometry Visibility and untick 'Show Line Geometries'. Alternatively, files can be toggled on and off using the tick boxes in the Layers window. For more information about using GPlates, a set of user tutorials can be accessed from the GPlates website - http://www.gplates.org/docs.html.</div> <div> </div> <div> </div> <div>#########################################</div> <div>MODEL REFERENCING:</div> <div>When using our model, in addition to citing this publication, please consider citing the studies of Domeier and Torsvik (2014), Matthews et al. (2016) and Müller et al. (2016) which served as the basis for this model in the late Paleozoic and Mesozoic-Cenozoic, respectively, and citing any other study that describes refinements to the plate reconstructions in your region of interest as appropriate. </div> <div> </div> <div>- Domeier, M., & Torsvik, T. H. (2014). Plate tectonics in the late Paleozoic. Geoscience Frontiers, 5(3), 303-350. DOI: <a href="https://doi.org/10.1016/j.gsf.2014.01.002" target="_blank" rel="noopener">10.1016/j.gsf.2014.01.002</a></div> <div>- Müller, R. D., Seton, M., Zahirovic, S., Williams, S. E., Matthews, K. J., Wright, N. M., Shephard, G. E., Maloney, K., Barnett-Moore, N., Hosseinpour, M., Bower, D. J., & Cannon, J. (2016). Ocean Basin Evolution and Global-Scale Plate Reorganization Events Since Pangea Breakup. Annual Review of Earth and Planetary Sciences, 44(1). DOI: <a href="https://doi.org/10.1146/annurev-earth-060115-012211" target="_blank" rel="noopener">10.1146/annurev-earth-060115-012211</a></div> <div>-Matthews, K. J., Maloney, K. T., Zahirovic, S., Williams, S. E., Seton, M., & Mueller, R. D. (2016). Global plate boundary evolution and kinematics since the late Paleozoic. Global and Planetary Change, 146, 226-250.</div> <div>DOI: <a href="https://doi.org/10.1016/j.gloplacha.2016.10.002" target="_blank" rel="noopener">10.1016/j.gloplacha.2016.10.002</a></div>
Global plate boundary evolution and kinematics since the late Paleozoic
<h3>Global plate boundary evolution and kinematics since the late Paleozoic </h3> <p>Kara J. Matthews*^, Kayla T. Maloney*, Sabin Zahirovic*, Simon E. Williams*, Maria Seton*, R. Dietmar Müller*</p> <p>* EarthByte Group, School of Geosciences, The University of Sydney, Sydney, NSW 2006, Australia<br>^ Present address: Department of Earth Sciences, University of Oxford, South Parks Road, Oxford OX1 3AN, UK</p> <p>Contact: karajmatthews@gmail.com</p> <p>CORRECTION applied for the Pacific plate prior to 83 Ma based on Torsvik et al. (2019)</p> <h3><br>Supplementary Material</h3> <p>We provide a digital plate model files (including rotations and geometries) with this publication. These files allow for the visualisation and/or manipulation of the late Paleozoic to present-day (410-0 Ma) global plate motion model presented in this study. </p> <p>#########################################<br>The digital plate model files are compatible with the open-source GPlates plate reconstruction software (<a href="https://www.gplates.org" target="_blank" rel="noopener">www.gplates.org</a>):</p> <p>(1) Rotations - Global rotation model that contains the reconstruction poles that describe the motions of the continents and oceans.<br>- <strong>Global_EB_250-0Ma_GK07_Matthews_etal.rot</strong> (455 KB)<br>- <strong>Global_EB_410-250Ma_GK07_Matthews_etal.rot</strong> (115 KB) - in the comments 'POLE_RECALCULATED' means that we recalculated that finite pole of rotation such that the moving plate moves relative to a neighbouring plate rather than directly to the absolute reference frame (see Section 2.2.1 of the main text for more details). This process should have a minimal effect on the absolute motion of the plate.</p> <p>(2) Plate polygons and boundary geometries - Topologically closed plate polygons are constructed from the intersection of ridges, transforms, subduction zones and other plate boundary geometries. These 'resolved topologies' are valid at 1 Myr intervals (410-0 Ma). The plate boundary geometries and plate polygons have been assigned plate reconstruction IDs to allow them to be reconstructed using the supplied rotation file.<br>- <strong>Global_Mesozoic-Cenozoic_plate_bounds_Matthews_etal.gpml</strong> (36 MB)<br>- <strong>Global_Paleozoic_plate_bounds_Matthews_etal.gpml</strong> (8.7 MB)<br>- <strong>TopologyBuildingBlocks_Matthews_etal.gpml</strong> (2 MB) - this file has not been modified from Müller et al. (2016)</p> <p>(3) Coastlines - Geometries of the present-day coastlines.<br>- <strong>Global_coastlines_low_res_Matthews_etal.gpml</strong> (25.4 MB)<br>- <strong>Global_coastlines_low_res_Matthews_etal.shp</strong> (2.9 MB inc. auxillary files, datum-WGS 1984)<br>NOTE: From 410 to 320-310 Ma Kazakhstania is represented as one or two ('Internal' and 'External' Kazakhstania - Domeier and Torsvik, 2014) ovate polygons. Kazakhstania is highly deformed following a long and complicated history, and so for simplicity we avoid using their present-day outlines in the earlier part of the model.</p> <p>(4) Static polygons (optional) - Includes ocean isochron and terrane polygon geometries.<br>- <strong>Global_EarthByte_GPlates_PresentDay_StaticPlatePolygons_Matthews_etal.shp</strong> (2.7 MB inc. auxillary files, datum-WGS 1984)</p> <p>(5) Continenal polygons (optional) - Includes continental terrane polygon geometries and excludes oceanic lithosphere.<br>- <strong>Global_EarthByte_GPlates_PresentDay_ContinentalPolygons_Matthews_etal.shp</strong> (804 KB inc. auxillary files, datum-WGS 1984)</p> <p>GPLATES: <br>To view the model load all files in GPlates (either drag and drop files onto the globe OR from the navigation bar at the top of the screen click File -> Open Feature Collection and select files). Both rotation files (1) and each of the three plate geometry files (2) need to be loaded for the model to work properly. It is recommended that coastlines (3) are loaded to see how the continents move, however only one coastline file is necessary (.gpml or .shp). The static polygons (4) and continental polygons (5) are optional. </p> <p>The two rotation files need to be 'connected' in order for the model to run continuously from 410 to 0 Ma. In the GPlates 'Layers' window (opened from the main navigation bar, click 'Window' -> 'Show Layers') the rotation files will be highlighted yellow, yet only one will have a yellow tick next to it to signify it is being used. Click the small black triangle to the left the ticked rotation file. Under 'Inputs' -> 'Reconstruction features' click 'Add new connection' and then select the other rotation file from the list of files that will appear. This will ensure that both rotation files are active. </p> <p>Finally, it is recommended to experiment with geometry visibility in order to make the globe less cluttered. For instance, from the navigation bar click View -> Geometry Visibility and untick 'Show Line Geometries'. Alternatively, files can be toggled on and off using the tick boxes in the Layers window. For more information about using GPlates, a set of user tutorials can be accessed from the GPlates website - http://www.gplates.org/docs.html.</p> <p><br>#########################################<br>We also provide a list of the plate reconstruction IDs used in the model:</p> <p>Plate IDs - A list of all the plate IDs used in the rotation and geometry files and their corresponding plate names.<br>- <strong>EarthByte_Plate_ID_Table_Matthews_etal.txt</strong> (33 KB)</p> <p>#########################################<br>MODEL REFERENCING:<br>When using our model, in addition to citing this publication:</p> <p>Matthews, K.J., Maloney, K.T., Zahirovic, S., Williams, S.E., Seton, M. and Müller, R.D., 2016, Global plate boundary evolution and kinematics since the late Paleozoic, Global and Planetary Change, in press, accepted 3 October 2016.</p> <p>please also consider citing the studies of Domeier and Torsvik (2014) and Müller et al. (2016) which served as the basis for this model in the late Paleozoic and Mesozoic-Cenozoic, respectively, and cite any other study that describes refinements to the plate reconstructions in your region of interest. See Section 2 and Section 3 of the main text for more information on how the present model was constructed.</p> <p>- Domeier, M., & Torsvik, T. H. (2014). Plate tectonics in the late Paleozoic. Geoscience Frontiers, 5(3), 303-350. DOI:<a href="https://doi.org/10.1016/j.gsf.2014.01.002" target="_blank" rel="noopener">10.1016/j.gsf.2014.01.002</a><br>- Müller, R. D., Seton, M., Zahirovic, S., Williams, S. E., Matthews, K. J., Wright, N. M., Shephard, G. E., Maloney, K., Barnett-Moore, N., Hosseinpour, M., Bower, D. J., & Cannon, J. (2016). Ocean Basin Evolution and Global-Scale Plate Reorganization Events Since Pangea Breakup. Annual Review of Earth and Planetary Sciences, 44(1). DOI:<a href="https://doi.org/10.1146/annurev-earth-060115-012211" target="_blank" rel="noopener">10.1146/annurev-earth-060115-012211</a></p> <p>Note: We have recently fixed some issues in this model, namely the motion of the Pacific plate (following Torsvik et al., 2019), and some MOR topologies in the Arctic. The fixes are in the model files included in this folder, but the old (published) version of the model is included in a sub-folder called "_OLD_MODEL_DO_NOT_USE". </p> <p>Torsvik, T. H., B. Steinberger, G. E. Shephard, P. V. Doubrovine, C. Gaina, M. Domeier, C. P. Conrad, and W. W. Sager (2019), Pacific‐Panthalassic reconstructions: Overview, errata and the way forward, Geochemistry, Geophysics, Geosystems, 20(7), 3659-3689.</p> <p> </p>
Kinematic and Electromyographic Recordings during Dynamic, Repetitive, Low-Force Movements
<p>Experimental recordings of kinematic (XSens Awinda, Full-Body) and electromyographic (Delsys Trigno, 8 Right Arm Muscles) data during 4 repetive upper limb exercises with a 1.5Kg dumbell: A) elbow counter-gravity flexion and gravity-assisted extension, with torso tilted forwards; B) shoulder counter-gravity abduction and gravity-assisted adduction; C) shoulder counter-gravity flexion and gravity-assisted extensio; D) composite sequence of elbow/shoulder flexion/extension motions, executed until self-reported fatigue.</p> <p>A total of 17 healthy volunteers (11 Male; 6 Female; 23.82 ± 2.79 years old, 69.06 ± 14.75 Kg) were recruited. Each participant willingly agreed to participate in the study and gave their signed, informed consent, following the standard set by the declaration of Helsinki and the Oviedo Conventions.</p> <p>Additionally, self-reported fatigue after each exercise, according to Borg's Perceived Exertion Scale (Borg, 1998), is provided for all subjects.</p> <p>For a detailed description of the experimental protocol and instrumentation, refer to associated research paper (submission under review).</p>
Kinematics and timed function tests of facioscapulohumeral muscular dystrophy and myotonic dystrophy
<p>This dataset contains <a href="https://www.opencap.ai/">OpenCap</a> kinematics (body position and joint angles), clinician-scored timed function tests (TFTs), and extracted biomechanical metrics for 129 individuals:</p> <ul> <li> <p>28 participants with facioscapulohumeral muscular dystrophy (FSHD)</p> </li> <li> <p>58 participants with myotonic dystrophy (DM)</p> </li> <li> <p>43 participants with typical movement</p> </li> </ul> <p>For more details, please see the accompanying paper (in submission):</p> <blockquote> <p><strong>Video-based biomechanical analysis captures disease-specific movement signatures of different neuromuscular diseases</strong></p> <p>Parker S. Ruth*, Scott D. Uhlrich*, Constance de Monts, Antoine Falisse, Julie Muccini, Sydney Covitz, Shelby Vogt-Domke, John Day, Tina Duong,† Scott Delp†</p> <p>*Contributed equally, †Contributed equally</p> </blockquote>
Raw data acquired necessary to produce the plots introduced in the scientific paper: "Upper-limb kinematic reconstruction during stroke robot-aided therapy" (Medical & Biological Engineering & Computing)
<p>These files contain the raw data acquired necessary to produce the plots introduced the Figure 6 of the scientific paper: “Upper-limb kinematic reconstruction during stroke robot-aided therapy” (Medical & Biological Engineering & Computing).</p> <p>Fig. 6 shows the data recorded from two patients performing five forward/backward movements at InMotion2 robot before and after rehabilitation treatment. Mean values of the five execution have been reported in Fig. 6.</p>
Raw data employed to perform the algorithm used in the scientific paper: "Kinematic reconstruction of the upper limb joints in planar robot-aided therapies
<p>These files contain the raw data (acquired from different users) necessary to perform the algorithm introduced in the scientific paper:</p> <p>PAPER: Kinematic reconstruction of the upper limb joints in planar robot-aided therapies</p> <p>Authors: Arturo Bertomeu-Motos, Ricardo Morales, Jorge A. Díez, Luis D. Lledó, Francisco J. Badesa, Nicolas Garcia-Aracil</p> <p>Conference: ICORR 2015, IEEE 14th International Conference on Rehabilitation Robotics, August 2015</p> <p><br> All the orientations are expressed regarding the origin of the robot.</p> <p>a) Robot Joints: Planar robot joints acquired during the experiment, in radians (j1-j3 columns). This robot is referenced in the paper.<br> b) Quaternion IMU shoulder: Unit quatenion acquired through a 9DoFs Inertial Measurement Unit (IMU) developed by Shimmer (qw1-qz columns).<br> c) Upper arm acceleration: Acceleration acquired from a 3-axial accelerometer developed by Shimmer (X-Z columns). It is normalized regarding the gravity (9.81m/s^2).<br> d) Quaternion Tracker onto Shoulder: unit quaternion of the tracker placed onto the shoulder acquired from the tracking camera V120:trio developed by Optitrack (qw1-qz columns).<br> e) Quaternion Tracker onto Upper Arm: unit quaternion of the tracker placed onto the upper arm acquired from the tracking camera V120:trio developed by Optitrack (qw1-qz columns).</p>
Raw data employed to perform the algorithm used in the scientific paper: "Kinematic reconstruction of the human arm joints in robot-aided therapies with Hermes robot"
<p>This file contains the raw data necessary to perform the algorithm introduced in the scientific paper:</p> <p>PAPER: Kinematic reconstruction of the human arm joints in robot-aided therapies with Hermes robot</p> <p>Authors: Arturo Bertomeu-Motos, Ricardo Morales, Luis D. Lledó, Jorge A. Díez, Jose M. Catalan, Nicolas Garcia-Aracil.</p> <p>Conference: EMBC 2015, IEEE 37th International Conference in Medicine and Biology Society, August 2015.</p> <p>Raw data acquired necessary to perform thee algorithm introduced in this paper.</p> <p>a) Robot Joints: Robot joints generated to develop the simulation, in radians (j1-j7 colums). This robot is referenced in the paper.<br> b) Direct Upper Limb Joints: Upper limb joints generated to develop the simulation, in radians (q1-q7 columns). This data is used to simulate the accelerometer value.</p>
Shoulder kinematics derived from radiographic and optical motion analysis
<p>This dataset contains torso/arm, scapula, and humerus kinematics from subjects performing a variety of static poses and dynamic activities. The humerus and scapula were imaged at 100 Hz using a biplane fluoroscopy/dynamic stereoradiography system. Then, 3D models of the humerus and scapula were constructed from each subject’s CT scan. Model-based markerless tracking ascertained the 3D position and orientation of each bone model by semi-automatically aligning digitally reconstructed radiographs against each frame of the radiographic recordings. The kinematics of the torso and arm were measured using skin marker motion capture and co-calibrated spatially and temporally to the radiography system.</p> <p>This repository contains an expanded release of data found in doi:10.5281/zenodo.7542486 and doi:10.5281/zenodo.10972005. The rationale to provide a new repository is that this release, and forthcoming releases, will follow a new format that provides more granular data for past and ongoing studies from our laboratory. These studies may include motion analysis data from healthy controls, pathologic subjects, and those after surgical intervention.</p> <p>v1.1 now contains transforms from Vicon to biplane fluoro coordinate systems.</p> <p> </p>
Test Data of Passenger kinematics in Lane change and Lane change with Braking Manoeuvres from Ghaffari et al., 2018
<p>This data was extracted by the "authors" of this dataset from the publication</p> <p><strong>Ghaffari, G., Brolin, K., Bråse, D., Pipkorn, B., Svanberg, B., Jakobsson, L., & Davidsson, J. (2018). Passenger kinematics in Lane change and Lane change with Braking Manoeuvres using two belt configurations: standard and reversible pre-pretensioner. <em>2018 IRCOBI Conference Proceedings, </em>pp. 12-14, <a href="http://www.ircobi.org/wordpress/downloads/irc18/pdf-files/80.pdf">http://www.ircobi.org/wordpress/downloads/irc18/pdf-files/80.pdf</a>.</strong></p> <p>within the OSCCAR project and made publicly available for future validations of active Human Body Models.</p> <p><strong>If you use this data, please cite the original paper.</strong></p> <p>To use the data, a generic model of the vehicle environment is also openly available: <a href="https://openvt.eu/osccar/precrash_seat_models/safer-ahbm_2-3">https://openvt.eu/osccar/precrash_seat_models/safer-ahbm_2-3 </a></p>
Passenger kinematics and muscle responses from autonomous braking events from Olafsdottir et al. 2013
<p>This data was extracted by the "authors" of this dataset from the publication</p> <p>Olafsdottir, J. M., Östh, J., Davidsson, J., & Brolin, K. (2013). Passenger kinematics and muscle responses in autonomous braking events with standard and reversible pre‐tensioned restraints. In Ircobi conference proceedings 2013, IRC-13-70, pp. 602-617; <a href="http://www.ircobi.org/wordpress/downloads/irc13/pdf_files/70.pdf">http://www.ircobi.org/wordpress/downloads/irc13/pdf_files/70.pdf</a></p> <p>within the OSCCAR project and made publicly available for future validations of active Human Body Models.</p> <p>If you use this data, please cite the original paper.</p> <p>To use the data, a generic model of the vehicle environment is also openly available: <a href="https://openvt.eu/osccar/precrash_seat_models/safer-ahbm_2-3">https://openvt.eu/osccar/precrash_seat_models/safer-ahbm_2-3 </a></p> <p> </p>
DEM and associated kinematic GPS coordinates of September 2002 survey of the salar de Uyuni, Bolivia
<p>This dataset consists of two parts: 1) the post-processed kinematic GPS coordinates of a September 2002 survey of a 45 x 54 km region of the salar de Uyuni, Bolivia. 2) a digital elevation model (DEM) of the salar de Uyuni surface derived from those kinematic GPS data.</p> <p>Details of the survey and DEM generation can be found in the manuscript, "Topography of the salar de Uyuni, Bolivia from kinematic GPS" (doi: 10.1111/j.1365-246X.2007.03604.x). The only difference between this dataset and one described is that the DEM was generated from fitting two-dimensional Fourier basis set with parameters: L_x = L_y = 70000 meters, m = n = 10. This results in a basis set with a nominal resolution of 7 km, which is almost identical to that used in the dataset shown in the manuscript.</p>
Kinematically collected reference fingerprint map (RFM) with the high precision tracking system for feature-based indoor positioning
<p>The offline referencing phase, one of the core phases of the fingerprinting-based indoor positioning system (FIPS), is the key stage for deploying the positioning system. The reference fingerprint map (RFM) is acquired for representing the relationship between location-relevant features and the corresponding locations and used for inferring the user’s location at the online stage. The kinematically collecting the RFM using the mobile device with the help of high precision tracking system is contributed to the community for benchmarking comparison of the indoor positioning performance. The detailed description of the data is cooming soon.<br> </p>
Gait Kinematics Data from 2 minute walk test assessment
<p>The dataset consists of gait parameters collected from a single male participant (age: 29 years, height: 1.72 m, mass: 78.3 kg) at four time points: baseline, post-immobilization (post-IM), post-resistance training (post-RT), and 14 weeks post-RT (post-14). The participant underwent a 14-day single-leg immobilization followed by an 8-week resistance training (RT) program. Gait data were recorded during the Two-Minute Walk Test (2MWT) under two conditions: comfortable (COM) and fast (MAX) walking speeds. The dataset includes kinematic data captured using ten synchronized Opal inertial sensors (APDM Inc.) placed at specific anatomical locations, sampled at 128 Hz. The recorded signals were processed using the Mobility Lab™ software.</p>
HR-GNSS data used in Neuro-Fuzzy Kinematic Finite-Fault Inversion: 2. Application to the Mw6.2, 24/August/2016, Amatrice Earthquake
<p>Here are the high-rate GNSS data we used to infer the low-frequency components of seismic source radiation within the M 6.2, 24/August/2016, Amatrice Earthquake. In particular, the traces are used to constrain frequencies between 0.03-0.06 Hz. This data has been used to evaluate the performance of the method, in a train/test split procedure, described in the manuscript. We upload data here to comply with AGU Fair data policy (https://www.agu.org/Publish-with-AGU/Publish/Author-Resources/Policies/Data-policy)</p> <p>Please find the pre-print of the manuscript from the ESSOAR (<a href="https://doi.org/10.1002/essoar.10504341.1">https://doi.org/10.1002/essoar.10504341.1</a>).</p> <p>Notice that the complete set of data are reposited on INGV FTP server: ftp://gpsfree.gm.ingv.it/amatrice2016/</p> <p>The data is originally processed by Avallone et al. (2016), and the detailed analysis procedure has been explained there. In the case where you used this data, please cite the original articles: </p> <p>Avallone, A., Latorre, D., Serpelloni, E., Cavaliere, A., Herrero, A., Cecere, G., ... & Selvaggi, G. (2016). Coseismic displacement waveforms for the 2016 August 24 Mw 6.0 Amatrice earthquake (central Italy) carried out from High-Rate GPS data. Annals of Geophysics, 59. (<a href="https://doi.org/10.4401/ag-7275">https://doi.org/10.4401/ag-7275</a>)</p> <p>Avallone, A., Selvaggi, G., D'Anastasio, E., D'Agostino, N., Pietrantonio, G., Riguzzi, F., ... & Zarrilli, L. (2010). The RING network: improvement of a GPS velocity field in the central Mediterranean. Annals of Geophysics, 53(2), 39-54. (<a href="https://doi.org/10.4401/ag-4549">https://doi.org/10.4401/ag-4549</a>)</p> <p> </p>
Grood and Suntay joint coordinate system for knee kinematics
<p>Grood and Suntay joint coordinate system for description of knee kinematics</p> <p>This software implements the Grood and Suntay joint coordinate system for the clinical description of the three-dimensional motion of the knee. The Grood and Suntay joint coordinate system is described in the research paper :</p> <p>Grood E.S., Suntay W.J., “A joint coordinate system for the clinical description of three-dimensional motions: application to the knee”, J Biomech Eng., 1983 May; 105(2), 136-44, 1983.</p> <p>The software was used in producing the numerical results shown in various research papers such as :</p> <p>Arsene, CT, Gabrys, B., “Probabilistic finite element predictions of the human lower limb model in the total knee replacement”, Med Eng Phys, 2013 Aug; 35(8): 1116-32, 2013.</p> <p>Description of the Matlab files:</p> <p>Uncerpasl.m – starts the process of calculating the knee joint coordinate system;</p> <p>Anglesn.m – calculates the angles and the displacements of interest for the tibio-femoral component</p> <p>Anglespf.m – calculates the angles and the displacements of interest for the patello-femoral component</p> <p>Readinput.m – reads the text files containing the raw data obtained from the Finie Element simulations such as :</p> <p>a) femur_COG_I_X - means the X coordinate of the I point which defines a coordinate system together with points J and K with respect to the center of gravity (COG) of the femoral component.</p> <p>b) femur_COG_X - means the X coordinate of the center of gravity (COG) of the femoral component which together with points I, J , K forms a sort of local coordinate system attached to the femoral component.</p> <p>All the text files such as femur_COG_I_X_1.txt, femur_COG_I_Y_1.txt, etc were produced with the finite element software PAM-CRASH/PAMOPT from the company ESI, Paris, France (<a href="https://www.esi-group.com/">https://www.esi-group.com</a>). The text files contain a single result consisting of 0.12 seconds of the passive flexion cycle and therefore are of no real use but only to verify that the Grood and Suntay Matlab software code works.</p> <p>Please acknowledge the project financed by the European Union Framework Programme 6 (FP6) entitled Decision Support Software for Orthopaedic Surgery and Mr Corneliu T.C. Arsene if you are going to use this software anywhere in your work. The license for this software is a Creative Commons Attribution 4.0 International License (CCL). This project has also a DOI : 10.5281/zenodo.2136822</p> <p>It is provided here with no warranty. Direct all questions and requests to <a href="mailto:galenpalimpsestproject@gmail.com">galenpalimpsestproject@gmail.com</a>.</p>
Data for: Iceland Kinematics from InSAR
<p>These datasets are associated with the paper "Iceland Kinematics from InSAR" submitted to <em>JGR-solid earth</em> by Cao et al., 2022. Totally 7 types of datasets (~ 40 GB) are included: 1) time-series of displacements from six tracks of Sentinel-1 InSAR with ICAMS correction during 2015 to 2021; 2) Nationwide InSAR-derived East and vertical velocity maps; 3) Nationwide InSAR-based GIA and plate-spreading models; 4) 2) InSAR LOS velocity maps that estimated using NVCE-based weighted least-squares; 5) InSAR temporal coherence maps used for evaluating quality of InSAR-derived time-series solutions (e.g., displacements and velocity); 6) InSAR incidence angles; 7) GPS-based velocity measurements (LOS, East, and Up). Spatial resolution of the InSAR results are about 100 m by 100 m.</p>
Biplane fluoroscopy derived humerus and scapula kinematics during arm elevation and rotation
<p>This dataset contains torso, scapula, and humerus kinematics from 20 healthy subjects performing coronal plane abduction, scapular plane abduction, forward elevation, internal external rotation at 90º of abduction, and internal external rotation in adduction. The humerus and scapula were imaged at 100 Hz using a biplane fluoroscopy system. 3D models of the humerus and scapula were constructed from each subject’s CT scan. Model-based markerless tracking ascertained the 3D position and orientation of each bone model by semi-automatically aligning digitally reconstructed radiographs against each frame of the biplane fluoroscopy recordings. The kinematics of the torso were measured using skin marker motion capture.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.