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1,548 results for “Trajectories”
Matlab files for: Mathematical Modelling of Polymer Trajectory during Electrospinning
<p>Matlab files used within this publication to be able to replicate the results.</p>
Fig. 1 in Regional differentiation of felid vertebral column evolution: a study of 3D shape trajectories
Fig. 1 Different vertebral morphologies and their respective threedimensional landmarks: a–c atlas in anterior, posterior and dorsal view; d–f T1 in anterior, posterior and lateral view; g–i L1 in anterior, posterior
Fig. 4 in Regional differentiation of felid vertebral column evolution: a study of 3D shape trajectories
Fig. 4 Phenotypic trajectory analysis (PTA) of post-atlantoaxial presacral vertebrae (i.e. C4–L7) grouped by prey size categories. Larger-sized circles show the average shape location of each individual group per stage. White-filled circles represent the first stage of the trajectory, grey-filled circles represent all intermediate stages and blackfilled circles mark the final stage of each trajectory
Fig. 5 in Regional differentiation of felid vertebral column evolution: a study of 3D shape trajectories
Fig. 5 Phenotypic trajectory analysis (PTA) of vertebrae in the T10–L7 region grouped by prey size (a) and locomotory (b) categories. Largersized circles show the average shape location of each individual group per
ELF3 prion-like domain REST2 simulation trajectories
<p>This dataset contains ELF3 prion-like domain (PrD) trajectories obtained with replica exchange with solute tempering (REST2). These trajectories were created as part of a publication exploring the temperature-responsive condensation of the ELF3-PrD in the scientific pulication titled, "Molecular dynamics simulations illuminate the role of sequence context in the ELF3-PrD-based temperature sensing mechanism in plants." Included are trajectories for ELF3-PrD variants including wildtype, 0Q (variable poly-glutamine tract removed), and an F527A mutant, each at a range of temperatures between 290K and 405K.</p>
Dataset for: Temporal trajectories of plant functional traits in mediterranean grasslands under different grazing regimes
<p>The excel file contains three spreadsheets:</p> <ol> <li>the environmental and temporal information about the plot (sample)</li> <li>the plant functional traits of the species (traits)</li> <li>the species composition of the plant communities (species).</li> </ol> <p>These data have been used for the statistical analysis of the manuscript Nour et al., 2024 on Applied Vegetation Science. For more information see the manuscript "Temporal trajectories of plant functional traits in Mediterranean grasslands under different grazing regimes" (Nour et al., 2024).</p>
Particle trajectories generated by the eDNA fate and transport model for the Atlantic bottlenose dolphin (Tursiops truncatus) -- Part I
<ul> <li>"release" includes particle trajectories generated by the eDNA fate and transport model, which was driven by the hydrodynamics simulated with the realistic wind and tidal forcings.</li> <li>The python codes used to read the particle trajectories and get the particle counts in each model grid cell can be found in https://github.com/Jilian0717/eDNA_fate_transport_model/tree/main/particle_density</li> </ul>
Particle trajectories generated by the eDNA fate and transport model for the Atlantic bottlenose dolphin (Tursiops truncatus) -- Part II
<ul> <li>"release_no_wind" includes particle trajectories generated by the eDNA fate and transport model, which was driven by the hydrodynamics simulated without wind forcing. The purpose is to diagnose the influence of wind on particle distributions.</li> <li>The python codes used to read the particle trajectories and get the particle counts in each model grid cell can be found in https://github.com/Jilian0717/eDNA_fate_transport_model/tree/main/particle_density</li> </ul>
Mycobacterium tuberculosis FtsB and PerM interact via a C-terminal helix: MD trajectories and microscopy data
<p>Data accompanying the manuscript "Mycobacterium tuberculosis FtsB and PerM interact via a C-terminal helix in FtsB to modulate cell division" currently published at bioRxiv at https://doi.org/10.1101/2024.03.11.584518</p> <p>Molecular dynamics trajectories (only protein atoms to limit size) are provided to reproduce analysis in the paper.<br><br>Raw microscope image data is provided to reproduce analysis and figures in the paper.</p> <p>Other files and scripts required to reproduce the paper are available at https://github.com/smmlab/mtb-perm-ftsb</p>
Dataset underying the publication titled: Warming-induced contrasts in snow depth drive the future trajectory of soil carbon loss across the Arctic-Boreal region
<p>LPJ-GUESS model outputs underlying the figures published in the article "Warming-induced contrasts in snow depth drive the future trajectory of soil carbon loss across the Arctic-Boreal region".</p> <p> </p>
Safe trajectories from local information for coverage control in non-convex environments
<h2>Description</h2> <p>This dataset contains 3-channels grid-based representations of local information individually retrieved by robots in a team, tasked with a coverage control operation. Data collection was performed running 50 episodes of a coverage control mission with a team of 16 robots controlled by a theoretically proven safe expert controller.</p> <h3>Features</h3> <p>Features encode local information in a 3-channels <em>64 x 64</em> image, corresponding to the discretized sensing region of the robot. The first channel encodes the local likelihood density, the second one the position of team-mates, and the third channel contains the position of obstacles and boundaries. </p> <p><em>imgs{i}.npy</em> files contain data collected over each episode in the form of a [<em>S, N, C, W,</em> W] <em>numpy </em>array, where S is the number of steps of that episode, N is the number of robots, C = 3 is the number of channels, and W = 64 is the size of the image. </p> <h3>Labels</h3> <p>Labels contain the 2D velocity calculated by the expert controller, which is theoretically proven to guarantee collision avoidance. </p> <p><em>vels{i}.npy </em>files contain data collected over each episode in the form of a [<em>S, N, 2</em>] <em>numpy</em> array, associated to the corresponding feature.</p> <p> </p> <h2>Training and Testing</h2> <p>Code for training and testing a CNN-based model mapping local information to 2D velocity is available at <a href="https://github.com/ARSControl/cnn_coverage.git">https://github.com/ARSControl/cnn_coverage.git</a>.</p> <p> </p> <h2>Contact Information</h2> <p>If you are interested in any further information, please contact <a href="mailto:mattia.catellani@unimore.it">mattia.catellani@unimore.it</a>.</p> <p> </p>
MD Trajectories and parameter file.
<p>The repository contains MD trajectories and parameter file for all simulations of Galectin-1/10g complex. Four poses were generated, namely Pose1, Pose3, Pose5 and Pose 15. MD simulation for all poses was done in replicates of 3. </p> <p>Files are netcdf and parm7 formatted. </p>
MD trajectories of lipidated fluorescent proteins constructs cleGFP and dleGFP
<p>MD trajectories of lipidated fluorescent proteins.</p> <p>Force field: Martini2.2p</p> <p>File formats: Gromacs 2018</p> <p>cleGFP 200µs, c-terminal lipidation</p> <p>dleGFP 85.46µs, c-terminal and internal lipidation (i.e. "d" doubly-lipidated)</p>
Synthetic Aircraft Landing Trajectory Dataset for Oslo Airport
<p>This dataset is <span>a collection of synthetically generated landing trajectories for Oslo airport.</span></p>
PHLOWER - Single cell trajectory analysis using Decomposition of the Hodge Laplacian
<p>Datasets that PHLOWER used:</p> <ol> <li>benchmarking data</li> <li>multiome kidney organoid data</li> <li>xenium kidney orgnoid data</li> </ol>
UAV LiDAR and trajectory data from Antiochia ad Cragum
<p>This data set includes LiDAR and trajectory data from four flights of an area located roughly north-east of the Small Bath Area at Antiochia ad Cragum in south-central Turkey in 2022 using a custom LIDAR sensor built with a Livox Mid-40 LiDAR camera and open source hardware and software from the OpenMMS project. Each zip file includes two adjacent flights oriented either principally east-west or north-south. The four flights together offer overlapping coverage of the area. In addition to the LiDAR files trajectory information collected with an AceInna OpenIMU and two Ublox ZED-F9P GNSS modules is included.</p>
Molecular Dynamics Trajectories of Membrane-bound Influenza Hemagglutinin (A/duck/Alberta/35/76) in Complex with 0-3 Copies of FISW84 Fab Fragments
<p>MD simulation trajectories of influenza hemagglutinin (A/duck/Alberta/35/76) in a bilayer mimicking the viral membrane, with 0-3 copies of FISW84 antibody's Fab domains bound.</p> <p>Files are named as (copy number of Fab).(simulation replica ID).(file type extension). The systems were constructed in CHARMM format PSF files and the trajectories were recorded in DCD format.</p> <p>Simulations were performed with NAMD3. The trajectories were re-centered and re-wrapped about the periodic boundary from the raw trajectories, in order to keep the HA-Fab complex and the lipid bilayer appearing as a single continuous entity instead of isolated molecules at the opposite side of the periodic boundary. Water molecules in the simulation were removed in these trajectories due to file size limitations.</p>
Protein preparation (1LPB), docked structures of Bromhexine and Orlistat to Pancreatic Lipase, and MD simulations trajectories in 3 replicas.
<p>Data set contains 3 folders:</p> <p>1) Protein preparation (1LPB)</p> <p>2) XP Docking of Bromhexine and Orlistat</p> <p>3) MD Simulation of Bromhexine and Orlistat (3 replicates)</p>
Air parcel trajectories data generated by MIMICA code and simulation results generated by a trajectory box model
<p>The dataset includes trajectories of air parcels extracted from the large-eddy (cloud-resolving model) simulations of the deep convective clouds from the Amazon based on the soundings retrieved on April 8, 2020, April 23, 2020, and April 27, 2020, over Manaus, Brazil, as well as the results of the chemical box model simulations quantifying the transport of some atmospheric trace gases abundant in the Amazon.</p>
Data-Two-dimensional numerical study on particle motion trajectories and deposition in a channel of partial diesel particulate filter
<p>A numerical investigation on the soot laden flow of gas in a PDPF (Partial Diesel Particulate Filter) is presented based on solving the momentum equations for continuous phase in the Euler frame and the motion equations for dispersed phase in the Lagrangian frame. The interaction between the gas and particles is treated as one-way coupling for extremely dilute particle concentration, while the interaction between particles and porous wall is implemented through user-defined-subroutines. To accurately track the motion of nanoscale particles, the drag force, the Brownian excitation, and the partial slip are included in the particle motion equation. Two methods are used to verify the gas flow model and reasonable agreement for both comparisons is observed. The effects of upstream velocity, wall permeability and particle size on the filtration efficiency and deposition distribution of the particles along the wall surface of inlet channel are quantitatively studied. The results show that (1) the wall permeability plays the most primary role in determining the filtration efficiency of PDPF; (2) high upstream velocity improves filtration efficiency and drives the deposition position of particles to the rear of inlet channel; (3) the dependence of the particle deposition distribution on its own size is mainly reflected in the initial deposition position; (4) the filtration efficiency of PDPF is not proportional markedly to the gas flow into inlet channel at a low wall permeability, implying an intense separation of particles from gas streamline at the flow entrance.</p>
ScienceDex guides
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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.