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740 results for “lower limbs”
Nitric oxide (NO) data set (60--160 km) from SCIAMACHY mesosphere--lower thermosphere limb scans
<p><strong>Overview</strong><br> Contains the nitric oxide (NO) number densities (in cm<sup>-3</sup>) from 60 km to 160 km retrieved from SCIAMACHY mesosphere--lower thermosphere (MLT, 50--150 km) limb scans.</p> <p>SCIAMACHY is a UV-visible-near-infrared spectrometer which flies on ESA's Envisat and was operational from 08/2002 to 04/2012 (see Burrows et al., 1995 and Bovensmann et al., 1999 and references therein). The Mesosphere--Lower Thermosphere (MLT) measurement mode was carried out from 07/2008 until the end of the mission for one day every 15 days. This data set comprises 84 days of SCIAMACHY MLT NO measurements, each<br> containing about 15 orbits.</p> <p>The NO retrieval was carried out at the Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany, and is described in Bender et al., 2013. We used the SCIAMACHY geo-located atmospheric spectra (SCI_NL__1P) version 8.02 provided by ESA via their data browser at<br> https://earth.esa.int/web/guest/data-access/browse-data-products.<br> The spectra were calibrated with ESA's `SciaL1C` command line tool available for download at<br> https://earth.esa.int/web/guest/software-tools/content/-/article/scial1c-command-line-tool-4073.</p> <p>The SCIAMACHY NO data were compared to the results from ACE-FTS, MIPAS, and SMR in Bender et al., 2015, showing that all agree within the respective measurement uncertainties.</p> <p><strong>Acknowledgements</strong><br> The development of the retrieval was funded by the Helmholtz-society under the grant number VH-NG-624. The SCIAMACHY project, which was initiated by Professor Burrows in 1984, was funded by the German Aerospace Agency (DLR), the Netherlands Space Office NSO, formerly NIVR, and the Belgium ministry responsible for space. ESA funded the Envisat project. Professor Burrows of University of Bremen is the Principal Investigator. He and his research team comprising his colleagues in Bremen and international scientific collaborators led the scientific support and development of SCIAMACHY and the scientific exploitation of its data products.</p> <p>The SCIAMACHY instrument is developed by an industrial team headed by companies now known as Airbus SD on the German side and by Dutch Space on the Dutch side and included Belgium companies. The instrument and algorithm development is supported by the activities of the SCIAMACHY Science Advisory Group (SSAG), a team of scientists from various international institutions: University of Bremen (D), SRON (NL), SAO (USA), IASB (B), MPI Chemistry Mainz (D), KNMI (NL), University of Heidelberg (D), IMGA (I), CNRS-LPMA (F). Operational data processing is being performed by ESA and DLR-DFD within the ENVISAT ground segment. Support with respect to mission planning and operations is given by the SCIAMACHY Operations Support Team (SOST). The relevant work at the University of Bremen is funded by the University and State of Bremen.</p>
Biomechanical variables and pelvic kinematics in lower limb amputees
<p>Lower limb amputation causes drastic changes in basic locomotion patterns. Currently, these patterns are analyzed using a wide variety of methods, with a focus on different variables that can describe their impact on gait conditions and normal posture. Evaluating these conditions is of paramount importance because restoring a normal gait constitutes a key objective in the physical rehabilitation of amputees. Moreover, such assessments could potentially suggest different modifications to prosthetic devices. The objective is to provide a database with values of biomechanical parameters such as body weight distribution, pelvic kinematics, and gait measurements in above-knee (AK) and below-knee (BK) amputees. <br> The data are reported in a .CSV file and are organized according to the attendance of 29 patients to the tests. Each column has the information as follows: participant number; age; gender; weight; size; body mass index (BMI); amputation level; amputation laterality; amputation date; suspension system; body weight distribution percentage in each limb, the sound limb (BWD_S) and the prosthetic one (BWD_P) and the subtraction between both of them (BWD_S-P); gait velocity, cadence; two-minute walking test distance (2MWT) and stride length for each limb (STRIDE_S and STRIDE_P). <br> Also, some gait-related indexes as follows: gait symmetry index, which represents the difference between the value (expressed as a percentage) of the sound limb and that of the prosthetic limb in the stance or swing phases, denoted as SI; quality index, it evaluates individuals’ ability to correctly divide their own gait cycle between the sound and prosthetic limb steps, named as QI_S and QI_P respectively; propulsion index, it is computed based on the gradient (in degrees) between the start and end of the monopodal support phase in the anteroposterior acceleration graph for each limb during gait, and it is denoted as PROP_S and PROP_P.</p>
Lower limb bioheat model
<p>A Lower limb bioheat COMSOL Multiphysics® (Massachusetts, USA) model. The model is based on the computed tomography dataset acquired from the Cancer Imaging Archives (Subject ID TGGA-CV-A6JU) [1,2,3]</p> <p>This COMSOL model simulates the peripheral thermal behavior using Pennes bioheat equation and by considering blood flow in the main arterial structure.</p> <p>[1] Zuley, M. L., Jarosz, R., Kirk, S., Lee, Y., Colen, R., Garcia, K., … Aredes, N. D. (2016). Radiology Data from The Cancer Genome Atlas Head-Neck Squamous Cell Carcinoma [TCGA-HNSC] collection. The Cancer Imaging Archive. <a href="http://doi.org/10.7937/K9/TCIA.2016.LXKQ47MS">http://doi.org/10.7937/K9/TCIA.2016.LXKQ47MS 6</a></p> <p>[2] Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. (paper)</p> <p>[3] https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=11829589#11829589244ace71254c4bb19ade81b2783c7576</p>
ExoMove - Kinematics of Daily Activities with Lower-Limb Exoskeletons
<p>This dataset reports the lower-limb kinematics of healthy individuals during various daily activities (sitting, walking, stair ascending and descending, and transitions between them) while using two distinct lower-limb exoskeletons, eWalk and Autonomyo.<br><br>The dataset captures the biomechanical differences between the exoskeletons, offering a rich resource for advancing exoskeleton design and control for assistive and rehabilitative applications.</p>
Error Related Potential at the start of the gait with a lower limb exoskeleton
<h2>Description</h2> <p>This dataset contains EEG signals from experiments designed to evoke Error Related Potentials (ErrP) at the onset of gait using a Brain-Computer Interface (BCI) to control a lower limb exoskeleton. The ErrP is elicited using three different stimuli: Tactile, Visual, and VisuoTactile.</p> <p>During the experiment, participants remain stationary and engage in two mental tasks: Relax (R) and Motor Imagery (I) of walking to activate the exoskeleton. These tasks can be executed correctly (RC, IC) or incorrectly (RE, IE). For example, during RC (Relax Correct), the subject maintains an idle state, whereas during RE (Relax Error), the exoskeleton activates unexpectedly. Conversely, in IC, the subject imagines the sensation of starting to walk in their muscles, and the exoskeleton activates, but during IE, the exoskeleton does not move despite the motor imagery. When the exoskeleton activates before starting to walk, the stimulus remains active for 2 seconds to alert the subject about the impending movement. Therefore, ErrP is elicited by the stimuli in RE and can be compared with the absence of ErrP in IC, where the stimulus activates but should not evoke an error.</p> <p>Each subject participates in three sessions, one for each stimulus, consisting of 12 trials. In each trial, 10 mental tasks are performed, 5 Relax and 5 Imagination, interleaved. Since the subject is never in control of the system, tasks are correctly performed 70% of the time (RC, IC), while the remaining 30% are incorrect (RE, IE). In an exception, subject R01_VisuoTactile performed 7 trials of 20 mental tasks each, 10 of each type. However, due to the extended duration of the trials and resulting fatigue, they were later split for subsequent sessions.</p> <p> </p> <h2>Data information</h2> <p>A trial consists of a Matlab structure that stores all information related to the trial experiment. </p> <ul> <li><em>data_EEG</em>: Original EEG signals recorded with a sampling rate of 250Hz, where each row is a channel (1-28 EEG, 29-32 EOG, 33-35 inertial electrodes).</li> <li><em>data_preprocessed_EEG</em>: Matrix that contains the preprocessed signals for each channel. Rows 1-35 are the original signals and then, the preprocessed signals in blocks of 35. Find the indexes of each filter in <em>session.conf.info.preprocessingSteps.ListPreprocessingSteps</em>.</li> <li><em>trigger_EEG</em>: Information related to signal quality and missing data while recording. </li> <li><em>data_EXO</em>: Exoskeleton recorded data with a sampling rate of 250Hz.</li> <li><em>data_preprocessed_EXO: </em>The same data recorded by the exoskeleton in <em>data_EXO</em>, since it does not require the application of any filter.</li> <li><em>trigger_EXO</em>: Empty vector. </li> <li><em>data_Actuators</em>: Arduino response when activates (1) and deactivates (-1) the feedback. </li> <li><em>data_preprocessed_Actuators: </em>The same Arduino resposes recorded in <em>data_Actuators</em>, because it does not require any filter application. </li> <li><em>trigger_Actuators</em>: Empty vector. </li> <li><em>task_EEG</em>: Vector that associates a task to each signal sample.</li> <li><em>task_index_EEG</em>: Zero vector with negative peaks at the samples indicating the start of a task. Each peak decrements by one unit with each task. </li> <li><em>task_order_EEG</em>: Vector that increments a unit with each task change. </li> <li><em>event_EEG</em>: Vector of commands to activate (1) and deactivate (-1) the feedback in Arduino. </li> <li><em>conf</em>: Configuration employed for data acquisition and preprocessing. <ul> <li><em>acquisition</em>: User and signals acquisition information. <ul> <li><em>user_code</em>: User code name.</li> <li><em>feedback</em>: Trial in openloop (User do not have control of the system).</li> <li><em>feedbackErrP</em>: Feedback type employed during the trial.</li> <li><em>readfile</em>: Path to read files after its acquisition.</li> <li><em>saveSession_Script</em>: Script used to save the recorded data.</li> <li><em>writeResults</em>: Path to save the recorded data.</li> <li><em>device</em>: List of connected devices during the trial and their related information, such as name, sampling rate, connection order, etc. </li> <li><em>task</em>: Information about tasks occurring during the trial. <ul> <li><em>task_list</em>: Decodes tasks numbers. The first number is the global task/mental activity, the second one is the physiological state of the user, and the third one indicates the task version (preparation or basic task).</li> <li><em>sequence_tasks</em>: List of tasks in order of execution.</li> <li><em>sequence_times</em>: List with the duration of each task in the sequence.</li> </ul> </li> <li><em>deviceOutput</em>: List of devices that receive commands to execute orders, such as the exoskeleton for walking and stopping and the VibroLed for turning feeedback on and off.</li> <li><em>eye_index</em>: Indexes of EOG electrodes.</li> <li><em>EEG_index</em>: Indexes of EEG electrodes.</li> <li><em>inertial_index</em>: Indexes of inertial electrodes.</li> <li><em>file_name</em>: Trial name.</li> <li><em>num_epochs</em>: Number of epochs within a trial. An epoch is the half of sampling rate (250Hz), this means that an epoch has a duration of 0.5s and 125 samples. </li> </ul> </li> <li><em>preadjustment</em>: Empty list. </li> <li><em>preprocessing</em>: Information of the preprocessing filters, parameters and order of application.</li> <li><em>processing</em>: Not necessary for this analysis. </li> <li><em>static</em>: Information used internally by the architecture for its correct operation.</li> <li><em>info</em>: Important information about filters, their order and indexes in <em>data_processed_EEG</em>.</li> </ul> </li> <li><em>times</em>: Struct with information of the devices synchronization and preprocessing times.</li> <li><em>times_processing</em>: Processing duration times. </li> </ul>
Database of Urogynecological and obstetric history associated with lower limb physical performance in women
<p>Database: Urogynecological and obstetric history associated with lower limb physical performance in women</p>
Text-fig. 1. Diplopanax cacaoides (ZENKER) comb. nov. a–d: [Holotype of Mastixia cantia E.REID et M.CHANDLER, V.22953]. a: Lateral view of longitudinally broken specimen, reflected light. b–d: Surface renderings from micro-CT data. b: Lateral view of longitudinal fracture surface. c: Same specimen rotated to show external surface. d: Enlargement of lower half from (a, b), reflected light. e, f: Specimen figured originally as a paratype of M. cantia, V.22954 (Reid and Chandler 1933: pl. 25, fig. 3), reflected light. e: Ventral view with much of the endocarp wall fallen away exposing smooth convex ventral surface of locule cast. f: Transversely fractured surface, showing thick wall of the endocarp, and dehiscence plane leading to the left limb of the locule. g: Transversely sectioned, laterally compressed specimen from Miocene of Wiesa, Germany for comparison, Senckenberg Museum, SM.B. 21034/I. h–j: Digital transverse sections from micro-CT data of the Holotype V.22953. h: Transverse fracture surface from (b), showing curved locule and zone of weakness defining the germination valve (arrow), reflected light. i: Same orientation with clear demarcation of the separation plane of the germination valve (arrow), digital section from micro-CT scan. j: Enlargement from (h). Scale bars 5 mm. in Mastixioid Fruits (Cornales) From The Early Eocene London Clay Flora: Morphology, Anatomy And Nomenclatural Revision
Text-fig. 1. Diplopanax cacaoides (ZENKER) comb. nov. a–d: [Holotype of Mastixia cantia E.REID et M.CHANDLER, V.22953]. a: Lateral view of longitudinally broken specimen, reflected light. b–d: Surface renderings from micro-CT data. b: Lateral view of longitudinal fracture surface. c: Same specimen rotated to show external surface. d: Enlargement of lower half from (a, b), reflected light. e, f: Specimen figured originally as a paratype of M. cantia, V.22954 (Reid and Chandler 1933: pl. 25, fig. 3), reflected light. e: Ventral view with much of the endocarp wall fallen away exposing smooth convex ventral surface of locule cast. f: Transversely fractured surface, showing thick wall of the endocarp, and dehiscence plane leading to the left limb of the locule. g: Transversely sectioned, laterally compressed specimen from Miocene of Wiesa, Germany for comparison, Senckenberg Museum, SM.B. 21034/I. h–j: Digital transverse sections from micro-CT data of the Holotype V.22953. h: Transverse fracture surface from (b), showing curved locule and zone of weakness defining the germination valve (arrow), reflected light. i: Same orientation with clear demarcation of the separation plane of the germination valve (arrow), digital section from micro-CT scan. j: Enlargement from (h). Scale bars 5 mm.
Multimodal optical measurement for study of lower limb tissue viability in patients with diabetes mellitus
<p>According to the International Diabetes Federation, the challenges of early stage diagnosis and treatment effectiveness monitoring in diabetes is currently one of the highest priorities in modern healthcare. In this experimental study, the potential of combined measurements of skin fluorescence and blood perfusion by the laser Doppler flowmetry method in diagnostics of low limb diabetes complications was evaluated. With the use of Monte Carlo probabilistic modelling, the diagnostic volume and depth of the diagnosis were evaluated. The experimental study involved 76 patients with type 2 diabetes mellitus. These patients were divided into two groups depending on the degree of complications. The control group consisted of 48 healthy volunteers. The local thermal stimulation was selected as a stimulus on the blood microcirculation system. Experimental studies have shown that diabetic patients have elevated values of normalised fluorescence amplitudes, as well as a lower perfusion response to local heating. In the group of people with diabetes with trophic ulcers, these parameters also significantly differ from the control and diabetes only groups. Thus, the intensity of skin fluorescence and level of tissue blood perfusion can act as markers for various degrees of complications from the beginning of diabetes to the formation of trophic ulcers.</p>
Data for manuscript: "Understanding lower limb haemodynamics: sensitivity analysis of a 0D model"
Open the record for dataset details and reuse information.
Text-fig. 4. Taimyria triassica NAUGOLNYKH et MOGUTCHEVA gen. et sp. nov., holotype 4287/6. a: line drawing explaining female cone morphology after holotype; b: suggested reconstruction showing arrangement and vascularization of seed-bearing discs (left), and section through seed-bearing discs exhibiting seed attachment and marginal limb structure (right); c: seed scar structure (after Textfig. 3c), 1 – subepidermal and epidermal tissues under the cuticle, 2 – coaly tissues of mesophyll. Oval form at seed scar center is possible exit of conducting strand. Locality: Tsvetkov Cape; Lower Triassic, Induan; Keshin Formation. Scale bar 1 cm (a, b), 100 µm (c). in Taimyria Gen. Nov., A New Genus Of Evolutionary Advanced Gymnosperms From Triassic Of The Taimyr Peninsula, Siberia, Russia
Text-fig. 4. Taimyria triassica NAUGOLNYKH et MOGUTCHEVA gen. et sp. nov., holotype 4287/6. a: line drawing explaining female cone morphology after holotype; b: suggested reconstruction showing arrangement and vascularization of seed-bearing discs (left), and section through seed-bearing discs exhibiting seed attachment and marginal limb structure (right); c: seed scar structure (after Textfig. 3c), 1 – subepidermal and epidermal tissues under the cuticle, 2 – coaly tissues of mesophyll. Oval form at seed scar center is possible exit of conducting strand. Locality: Tsvetkov Cape; Lower Triassic, Induan; Keshin Formation. Scale bar 1 cm (a, b), 100 µm (c).
Lagrangian trajectory dataset for AMOC lower limb
<p>These Lagrangian trajectory files were generated by TRACMASS, a Lagrangian parcel tracing algorithm, using data from a high-resolution (1/12<sup>o</sup>) ocean sea-ice hindcast. Two set of experiments were performed to trace the Atlantic Meridional Overturning Circulation (AMOC) lower limb; 1) Initiated only southward trajectories across the Fram Strait <strong>(fs)</strong> that corresponds to Arctic outflow and 2) traced only northward trajectories across the easten Subpolar North Atlantic (SPNA) Section which corresponds to Atlantic inflow and associated with the North Atlantic Current <strong>(nac)</strong>.</p> <p>_ini.csv = store positions and properties of trajectories at the starting location</p> <p>_run.csv = store positions and properties of trajectories during the trajectory simulation</p> <p>_out.csv = store positions and properties of trajectories at the ending location</p> <p>_rerun.csv = This file is used to select trajectories that have reached a particular ending section. Column 2 in this file contain kill zone flag. Flag 1 means trajectories reaching the surface, 2 indicates trajectories reaching the Fram Strait , 3 means trajectories reaching the eastern SPNA section and finally 4 illustrate trajectories aprroaching the Barents Sea.</p> <p>TRACMASS documentation is available at <strong>https://www.tracmass.org/docs.html</strong></p>
Study to Evaluate Effects of DYSPORT® Injected in Lower and Upper Limb Combined With Guided Self-Rehabilitation Contract (GSC)
ClinicalTrials.gov study NCT02969356. IPD Sharing: YES. Countries: 4. Publications: 1.
Safety and Pharmacokinetics Study of DU-176b Administered to Patients With Severe Renal Impairment Undergoing Orthopedic Surgery of The Lower Limbs
ClinicalTrials.gov study NCT01857583. IPD Sharing: YES. Countries: 1. Publications: 1.
Dysport® Adult Lower Limb Spasticity Follow-on Study
ClinicalTrials.gov study NCT01251367. IPD Sharing: YES. Countries: 11. Publications: 4.
Dysport® Adult Lower Limb Spasticity Study
ClinicalTrials.gov study NCT01249404. IPD Sharing: YES. Countries: 11. Publications: 3.
Backward trajectories from AMOC lower limb
<p>Backward trajectory run from the AMOC lower limb using TRACMASS. This is a part of the previous upload https://doi.org/10.5281/zenodo.7924420 . </p>
Mechanical energy fluctuation in lower limbs during walking in participants with and without total hip replacement
<p>Mechanical energy fluctuation of the segments in the lower limbs during walking has not been fully investigated. It was hypothesised that the segments of the lower limbs may work as a pendulum, i.e., the kinetic and potential energies exchanged out of phase. This study aimed to investigate energy changes and recovery during gait in hip replacement patients. The gait data for 12 participants with total hip replacement and 12 age-matched controls were compared. The kinetic, potential, and rotative energies for the whole lower limb and thigh, calf, and foot, were calculated. The effectiveness of a pendulum effect was analysed. Gait parameters, e.g., walking speeds, cadence, and stride length were calculated. The results showed that the thigh had significant effectiveness as a pendulum during gait with an energy recovery coefficient of approximately 40% while the calf and foot were less like a pendulum during gait. In comparison, energy recoveries of the lower limbs in the two groups were not significantly different. If the centre of the pelvis was considered as approximate to the centre of mass, however, the control group had a higher energy recovery than the total hip replacement group by roughly 10%. This study concluded that the mechanical energy recovery mechanism in the lower limbs during walking exists for two groups.</p>
CMIP6 HighResMIP HadGEM3-GC3.1 LL, MM and HH datasets for the heat transport in the lower limb of the AMOC
<p>These data include datasets for "Resolving mesoscale eddies is crucial for the heat transport in the lower limb of the AMOC", submitted to <em>Geophysical Research Letters</em>.</p> <p>Each file is prefixed with model resolution (LL, MM and HH) and experiment details (control, SSP5-8.5). Files ending with '_velocities' and '_age_pressure' contain diagnostics projected on the isopycnal surface (sigma2=36.95), depicted in Figures 2 and 3 of the submitted paper. </p>
A Study of Patients With Lower Extremity Acute Limb Ischemia to Remove Thrombus With the Indigo Aspiration System
ClinicalTrials.gov study NCT04144959. IPD Sharing: NO. Countries: 3. Publications: 1.
A Safety and Effectiveness Trial of Spinal Cord Stimulation of the Dorsal Root Ganglion for Chronic Lower Limb Pain
ClinicalTrials.gov study NCT01923285. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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Allen Brain Atlas
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OpenNeuro
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