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30 results for “full body”
Genome-wide association study of full body nevus count in the Brisbane Twin Nevus Study (BTNS)
<p>The project uses the Brisbane Twin Nevus Study (BTNS) (N=3863)) to compare nevus counts on different anatomical sites to assess which anatomical site serves as best proxy for counting nevi on the whole body.In the project, a GWAS of nevus count on the whole body and GWAS of nevus count on the outer arm are performed.Here is the GWAS of total nevus count.</p> <p>Sample: GWAS analysis only includes samples of European ancestry. total nevus count were counted by trained research nurse.</p> <p>Genotype: All genotypes were imputed to a human haplotype map (HapMap) reference panel. Genome-wide association analyses were performed using Genome-wide Efficient Mixed model Association (GEMMA), which can account for genetically related individuals such as twins and siblings. Sex, age, age2, sex*age, sex*age2, sunburn, BSA, sun exposed hours weighted by UV index and 5 PCs, additionally two batch effect variables; were included as covariates. SNP imputation quality filter retained SNP with an INFO > 0.3. minor allele frequency frequency filter was applied to retain SNP MAF > 0.1</p> <p>Columns include:</p> <p>CHR: Chromosome</p> <p>BP: Base pair</p> <p>SNP: rsID</p> <p>A1: Effect allele</p> <p>A2: Non-effect allele</p> <p>A1FQ: Effect allele frequency</p> <p>HWE: Hardy-Weinberg Equilibrium</p> <p>BETA: Effect estimate (of effect allele_</p> <p>SEB: Standard error of beta</p> <p>PRB: P value</p> <p>N: Per SNP sample size</p>
Somatosensory phase-encoded bilateral full-body light touch stimulation
Open the record for dataset details and reuse information.
Full Body Motion Capture of Single Individuals Following External Perturbations from Different Directions
<p>This dataset is composed of C3D files corresponding to full body motion of participants undergoing external perturbation at shoulder height with different sensory conditions. The temporal force profiles of the perturbations are also available.</p> <p>The following experiment received ethical approval from an ethics committee and all participants signed an informed consent form relative to the processing of their data. <br>The experiments were carried on 21 healthy young adults (10 females, 11 males). All were between 20 and 38 yo with a mean age of 27.2 (std: 4.2). Mean mass was 70.2 (std: 12.1) kg and height was 1.74 (std: 0.08) m. </p> <p>Participants motion was recorded using 45 reflective markers and a 23 Qualisys camera system (200Hz). <br>The markers were placed on participants following standardised anatomical landmarks. <br>The output signal of the force sensor was processed using a Butterworth low pass filter with a 5Hz cutoff frequency without phase shift. <br>The force sensor was synchronised with the motion capture software.<br>Tree reflective markers were also placed along the pole in order to retrieve the exact direction of the perturbations. </p>
Full-Body 3D Human Gait Dataset walking on flat ground
<p>This dataset contains full-body 3D gait data collected from 26 healthy participants (10 males, 16 females) with an average age of 28.19 ± 7.77 years. Data was captured using the Xsens Awinda MTw inertial measurement system, comprising 17 wireless sensors operating at a 60Hz sampling frequency.</p> <p>Key Features:</p> <ul> <li>Full-body motion data using MVN Analyze software's full-body model</li> <li>Anthropometric measurements: height (170.5 ± 8.61 cm), foot length (26.47 ± 1.88 cm), shoulder width (39.32 ± 7.79 cm), and wrist span (131.36 ± 8.85 cm)</li> <li>Four distinct walking paths: Mixed (straight and curved), Circle (3m diameter), Turn (180-degree turns), and Zigzag</li> <li>Total of 1,024,295 frames (17,071.58 seconds) of gait recordings</li> <li>Average of 3,568.97 ± 1,204.26 frames per recording (59.48 ± 20.07 seconds)</li> </ul> <p>The dataset includes various walking patterns designed to capture a wide range of gait characteristics, including straight walks, gentle curves, sharp turns, and zigzag movements. Participants were allowed some freedom in executing turns, particularly in the Zigzag and Mixed paths, to introduce natural variations in gait patterns.</p> <p>This comprehensive dataset is suitable for gait analysis, biomechanics research, and the development of motion synthesis algorithms, particularly those focused on normal walking patterns on a fixed surface with various turning scenarios.</p> <p>Dataset Structure:</p> <ol> <li>'<strong>participants.xlsx</strong>': An Excel file containing participant codes and their anthropometric data.</li> <li>'<strong>data</strong>' folder: Contains subdirectories named with participant codes. <ul> <li>Each participant subdirectory contains CSV files of different gait recordings for that participant.</li> </ul> </li> </ol> <p>This dataset was collected as part of the study:</p> <p><strong>Carneros-Prado, D., Dobrescu, C. C., Cabañero, L., Villa, L., Altamirano-Flores, Y. V., Lopez-Nava, I. H., … & Hervás, R. (2024). Synthetic 3D full-body skeletal motion from 2D paths using RNN with LSTM cells and linear networks. </strong><strong><em>Computers in Biology and Medicine, 180,</em></strong><strong> 108943.</strong></p>
laparocerus tessellatus adult full-body transcriptome
<p>Pooled transcriptome of two males and two females, Anaga peninsula, Tenerife, 2015.</p> <p>TruSeq Stranded mRNA kit, HiSeq paired-end 100bp.</p> <p>Trinity v2.0.6</p> <p>Longest isoforms only</p> <p> </p> <p> </p>
Image stacks for full-body transcription factor expression atlas with completely resolved cell identities in C. elegans
<p>Each image stack presented as zip file. Once decompressed, each folder contain '.ano' linker file, straightening C. elegans L1 images file, the segmentation mask image file and the cell annotation file. The image files are stored in Peng Hanchuan RAW/TIFF format, and the cell annotation file is stored in simple comma separated values format. To visualize the image stack data, drag the '.ano' linker file to VANO interface. </p> <p>vano_win32_1.741.zip contains VANO for worm visualization.</p>
Investigating Mechanisms Underlying Spinal Cord Stimulation Efficacy Using Virtual Reality and Full Body Illusion
ClinicalTrials.gov study NCT02970006. IPD Sharing: NO. Countries: 1. Publications: 1.
Three dimensional dataset combining gait and full body movement of children with autism spectrum disorders collected by Kinect v2 camera
<p><span>To the best of our knowledge, this is the maiden attempt to build a three-dimensional dataset that combines gait and body movement analysis of children with Autism Spectrum Disorders (ASD) in controlled environments for fifty children with autism children and fifty typical children. A 3D dataset includes 3D joints positions, the corresponding skeleton movement video, joints trajectories video captured by Kinect v2, and color videos captured by Samsung Note 9 rear camera. On the other hand, color videos for 9 children suffer from severe autism is also included for scientific benefit. Finally, the dataset includes 700 folders (350 for typical children, 350 for children with ASD) which include 3D files of tracked joints, angles between joints, and skeleton tracking video related to the augmentation of the original dataset based on seven transformations described in the paper.</span></p>
INDIAN SAADHU FULL BODY
INDIAN CHARACTER Source: Objaverse 1.0 / Sketchfab
Feasibility and effectiveness of a full body biofeedback mirror on musicians: EMG data + Music habits questionnaire
<p>Feasibility and effectiveness of a full body biofeedback mirror on musicians: EMG data + Music habits questionnaire</p>
VSDFullBody: The Virtual Skeleton Database Full Body CT Collection
<p>Reupload of anonymized postmortem CT scans of the whole body originally published by Michael Kistler through the SICAS Medical Image Repository (<a href="https://www.smir.ch/">smir.ch</a>) as open access Virtual Skeleton Database (VSD). The CT datasets were provided by the forensic institutes of the universities of Bern and Zürich and shared under the Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license after ethical approval of the Cantonal Ethics Committee Bern. Further information can be found in:</p><ul><li>Kistler, M., Bonaretti, S., Pfahrer, M., Niklaus, R. & Büchler, P. The virtual skeleton database: an open access repository for biomedical research and collaboration. <i>Journal of Medical Internet Research </i><strong>15(11), </strong>e245; <a href="https://doi.org/10.2196/jmir.2930">10.2196/jmir.2930</a> (2013).</li><li>Kistler, M. A database framework to incorporate statistical variability in biomechanical simulations. PhD thesis. Faculty of Medicine of the University of Bern; <a href="https://boristheses.unibe.ch/916">boristheses.unibe.ch/916</a> (2014).</li></ul><p>Due to ongoing difficulties in accessing the SMIR website a mirror of the original VSDFullBody datasets without any alterations is provided<strong>.</strong></p><p><strong>CAUTION:</strong> The VSD contains a few inconsistencies, such as duplicate CT datasets. The uploader is not connected to the SMIR or VSD and, therefore, not responsible for errors in the VSD. However, errors that the uploader recognized during the work with the VSD were logged in an Excel file: <a href="https://rwth-aachen.sciebo.de/s/rSVi7VsUyRCv37K">VSD_Comments.xlsx</a></p><p>Datasets of the VSD were used for the creation of surface models of the lower body's osseous anatomy. Further information can be found in: </p><ul><li>Fischer, M. C. M. Database of segmentations and surface models of bones of the entire lower body created from cadaver CT scans. <i>Scientific Data</i> <strong>10</strong>, 763; <a href="https://doi.org/10.1038/s41597-023-02669-z">10.1038/s41597-023-02669-z</a> (2023).</li></ul>
SparsePoser: Real-time Full-body Motion Reconstruction from Sparse Data
<p>Data used for the paper <strong>SparsePoser: Real-time Full-body Motion Reconstruction from Sparse Data</strong></p> <p>It contains over <strong>1GB</strong> of high-quality<strong> motion capture data</strong> recorded with an Xsens Awinda system while using a variety of <strong>VR applications</strong> in Meta Quest devices.</p> <p>Visit the paper <a href="https://upc-virvig.github.io/SparsePoser/">website</a>!</p> <p> </p> <p><strong>If you find our data useful, please cite our paper:</strong></p> <p>@article{10.1145/3625264, author = {Ponton, Jose Luis and Yun, Haoran and Aristidou, Andreas and Andujar, Carlos and Pelechano, Nuria}, title = {SparsePoser: Real-Time Full-Body Motion Reconstruction from Sparse Data}, year = {2023}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, issn = {0730-0301}, url = {https://doi.org/10.1145/3625264}, doi = {10.1145/3625264}, journal = {ACM Trans. Graph.}, month = {oct}}</p>
The Effects of Long-term Consumption of Full-fat Dairy Products on Satiety, Body Weight and Glycemic Control
ClinicalTrials.gov study NCT04399460. IPD Sharing: NO. Countries: 1. Publications: 1.
Comparison of Upper Body and Full Underbody Forced Air Blanket in Pediatric Patients
ClinicalTrials.gov study NCT05349734. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Comparative Effects of Tai Chi vs Full Body Vibrator Among Athletic Players
ClinicalTrials.gov study NCT06696937. IPD Sharing: NO. Countries: 1. Publications: 8.
Treatment of Atopic Dermatitis by a Full-Body Blue Light Device
ClinicalTrials.gov study NCT03085303. IPD Sharing: NO. Countries: 2. Publications: 3.
Three dimensional dataset combining gait and full body movement of children with autism spectrum disorders collected by Kinect v2 camera
Open the record for dataset details and reuse information.
FULL-WAVE EM SIMULATION OF HUMAN BODY BLOCKAGE BY DENSE 2D ANTENNA ARRAYS
<div> <div> <div> <p>This dataset, created using FEKO software, serves to investigate the impact of human body blockage on electromagnetic (EM) fields as observed by receiver antennas arranged in dense 2D/3D arrays. The simulation scenario involves an Hertzian dipole emitting radiation at 2.4868 GHz and positioned at a height of 0.99 meters. Field measurements are taken over a 3D array with multiple 2D arrays at varying distances from the source. An anthropomorphic obstacle representing a human body is included, featuring dimensions and material properties based on muscle composition. Simulations are conducted with the body at different positions and orientations relative to source and receivers considering real and imaginary part of EM field samples. The scenario includes no additional obstacles.</p> <p>For a 2D array at x=4m, simulations consider three body positions: (1) x=2m, y=0m, (2) x=2m, y=0.25m, and (3) x=2m, y=0.50m. Further simulations mimic micro-movements like translations along x and y axes by ±λ/4 increments and rotations at each position by angles 0°, 45°, 90°, and 135°, aiming to replicate real-life motions. In total, we simulate 3 positions, and for each of them, we consider 9 micro-positions (0 or ±λ/4 increments along x and/or y around the main position - the one with both increments equal to zero -) with 4 rotations for each. Therefore, there are a total of 3x9x4 simulations.</p> <p>The entire scenario involves 3D layouts of receiver arrays, with 50 surfaces composed of 90x180 elements spaced by λ/10.</p> </div> </div> </div> <div> <div><strong>Instructions: </strong></div> <div> <div> <p>The dataset comprises both .EFE files and MATLAB data, each representing a simulation position and containing real and imaginary components of the electric field received at each receiving point. Each file consists of a matrix sized 810000 x 6, where 6 denotes the real and imaginary components in the x, y, and z directions, and 810000 is derived from 90x180x50, representing the grid of receiving points.</p> <p>Each file within the dataset is labeled to convey its parameters. For example, "x2_y0.25_dxpl4_dyml4" denotes the position (x=2 m, y=0.25 m). Moreover, "dxpl4" represents the increment along the x-axis by plus lambda/four. "dpml4" and "dp0" are alternative options that can replace "dxpl4" if the increment is negative or there is no increment along the x-axis.<br>Similarly, "dyml4" denotes the decrement along the y-axis by minus lambda/four. "dypl4" and "dp0" can substitute "dyml4" to signify a different positive increment along the y-axis or no increment at all.</p> </div> </div> </div>
Comparative Accuracy of Conventional Scan Bodies, Intra-oral Photogrammetry, and Calibrated Scan Flags in Full-Arch Implant Scanning
ClinicalTrials.gov study NCT07200440. IPD Sharing: UNDECIDED. Countries: 0. Publications: 2.
Full-Body Transcriptome Uncovers Hepatic Gluconeogenesis and PDK3 Upregulation as a Key Driver of Cancer Cachexia
GEO Series GSE286259. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
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.