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16 results for “trajectory generator”
Air mass trajectory and connectivity data generated with tropolink (Richard et al., 2023)
<p>Archive containing trajectory and connectivity data generated with tropolink for the preparation of the manuscript Richard et al. (2023, <a href="https://doi.org/10.1029/2023GH000885">https://doi.org/10.1029/2023GH000885</a>), as well as the corresponding specifications (node coordinates, dates and other tropolink options). The archive contains specifications, trajectories and connectivities for the three applications presented in the manuscript:</p><p>- the study of airborne connectivity between areas of production of sugar beet, with starting altitude equal to 250m, 500m and 750m above ground level;</p><p>- the study of airborne connectivity between potyvirus populations;</p><p>- the study of invasion risk of Spodoptera frugiperda in Europe, North Africa and western Asia;</p><p> </p><p>Web application tropolink: https://tropolink.fr/</p><p>Associated gitlab: https://forgemia.inra.fr/tropo-group</p><p>Accompanying wiki: https://forgemia.inra.fr/tropo-group/tropolink/-/wikis</p><p>R code for analyzing tropolink output: https://forgemia.inra.fr/tropo-group/tropolink/-/wikis/Examples</p><p>Richard H., Martinetti D., Lercier D., Fouillat Y., Hadi B., Elkahky M., Ding J., Michel L., Morris C.E., Berthier K., Maupas F., <br>Soubeyrand S. (2023). Computing geographical networks generated by air-mass movement. GeoHealth 7:e2023GH000885. <a href="https://doi.org/10.1029/2023GH000885">https://doi.org/10.1029/2023GH000885</a>.</p>
Time-Resolved Plasmon-Assisted Generation of Arbitrary Optical-Vortex Pulses - Supporting Information for Trajectories
<p>We provide videos of trajectories for a test charge, bound by Lennard-Jones potential. First video, titled "PW Trajectory - Point 2 " refers to the particle under the effect of a plane wave pulse. The other video , titled "Emitter Trajectory - Point 2" refers to the particle affected by an orbital angular momentum carrying pulse.</p> <p>These videos are supplementary materials for the article titled "Time-Resolved Plasmon-Assisted Generation of Arbitrary Optical-Vortex Pulses".</p>
Paper data for DeepManeuver: Adversarial Test Generation for Trajectory Manipulation of Autonomous Vehicles
<p>This repo contains the study and appendix data for "DeepManeuver: Adversarial Test Generation for Trajectory Manipulation of Autonomous Vehicles". DOI 10.1109/TSE.2023.3301443.</p>
ReaxANA: Analysis of Reactive Dynamics Trajectories for Reaction Network Generation
<p><span>ReaxFF simulations, QM calculation input/output files, and Jupyter notebooks for data analysis and visualization.</span></p>
Experimental manipulation of perceived predation risk and cortisol generates contrasting trait trajectories in plastic crucian carp
<p>Most animals constitute potential prey and must respond appropriately to predator-mediated stress in order to survive. Numerous prey also adaptively tailor their response to the prevailing level of risk and stress imposed by their natural enemies, i.e. they adopt an inducible defence strategy. Predator exposure may activate the stress axis, and drive the expression of anti-predator traits that facilitate survival in a high-risk environment (the predation–stress hypothesis). Here, we quantified two key morphological anti-predator traits, body morphology and coloration in crucian carp following exposure (or not) to a predator (pike) as well as to experimental manipulation of physiological stress via implants containing either cortisol or a cortisol inhibitor. We found that predator-exposed fish expressed a deeper-bodied phenotype and darker body coloration as compared with non-exposed individuals. Skin analyses revealed that an increase in the amount of melanophores caused the dramatic colour change in predatorexposed fish. Increased melanization is costly, and the darker body coloration may act as an inducible defence against predation, via a conspicuous signal of the morphological defence or by crypsis towards dark environments and a nocturnal lifestyle. By contrast, the phenotype of individuals carrying cortisol implants did not mirror the phenotype of predator-exposed fish but instead exhibited opposite trajectories of trait change: a shallow-bodied morphology with a lighter body coloration as compared with sham-treated fish. The cortisol inhibitor did not influence the phenotype of fish i.e. neither body depth nor body coloration differed between this group and predator-exposed fish having a sham implant. However, our results illuminate a potential link between stress physiology and morphological defence expression.</p>
Generating Evidence for a Support Package to Stabilize Youth Trajectories Out of Homelessness
ClinicalTrials.gov study NCT03277794. IPD Sharing: NO. Countries: 1. Publications: 29.
Experimental manipulation of perceived predation risk and cortisol generates contrasting trait trajectories in plastic crucian carp
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Body kinematics for generating simulated marker trajectories
<p>Inverse kinematics used to generate simulated marker trajectories for use with an automatic motion capture marker labelling algorithm (https://github.com/aclouthier/auto-marker-label).</p>
Dataset associated to the "ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots" paper (manuscript DOI: 10.1109/LRA.2022.3141658)
<pre><code class="language-markdown">This dataset contains data accompanying the work: @ARTICLE{9676410, author={Viceconte, Paolo Maria and Camoriano, Raffaello and Romualdi, Giulio and Ferigo, Diego and Dafarra, Stefano and Traversaro, Silvio and Oriolo, Giuseppe and Rosasco, Lorenzo and Pucci, Daniele}, journal={IEEE Robotics and Automation Letters}, title={ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots}, year={2022}, volume={7}, number={2}, pages={2779-2886}, doi={10.1109/LRA.2022.3141658}} The dataset is organized in folders, whose content can be summarized as follows: - mocap: motion capture data collected from human motion - retargeted_mocap: motion capture data retargeted on the robot - IO_features: input and output features extracted from the retargeted mocap data to train the trajectory generator - training_D2_D3_subsampled_mirrored_4ew_98%: training data - inference: data collected while generating trajectories - trajectory_control_simulation: data collected while controlling trajectories in simulation - trajectory_control_real_robot: data collected while controlling trajectories on the real robot - additional_figures: additional data to reproduce some figures in the paper and portions of the supplementary video A more detailed description of the content of each folder is provided in the README.txt file included in the dataset.</code></pre>
Master thesis: Comparison of Machine Learning Methods for Pedestrian Trajectory Generation
<p>These videos are the result videos of the pedestrian model with trained neural networks of different Machine Learning methods in the master thesis: Comparison of Machine Learning Methods for Pedestrian Trajectory Generation.</p> <p>Turing_Learning_1: the first experiment of the Turing Learning method.</p> <p>Turing_Learning_1: the second experiment of the Turing Learning method.</p> <p>Inverse_Reinforcement_Learning_1: the first experiment of the Inverse Reinforcement Learning method.</p> <p>Inverse_Reinforcement_Learning_2: the second experiment of the Inverse Reinforcement Learning method.</p> <p>Deep_Q_Network_1: the first experiment of the Deep Q-Learning method.</p> <p>Deep_Q_Network_2: the second experiment of the Deep Q-Learning method.</p> <p>Deep_Q_Network_3: the third experiment of the Deep Q-Learning method.</p> <p>Deep_Q_Network_4: the fourth experiment of the Deep Q-Learning method.</p> <p>Policy_Distillation_1: the first experiment of the Policy Distillation method.</p> <p>Policy_Distillation_2: the second experiment of the Policy Distillation method.</p> <p>Policy_Distillation_3: the third experiment of the Policy Distillation method.</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>
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>
Time-Resolved Plasmon-Assisted Generation of Arbitrary Optical-Vortex Pulses - Supporting Information - Trajectories
<p>We provide videos of trajectories for a test charge, bound by Lennard-Jones potential. First video, titled "Plane Wave Trajectory " refers to the particle under the effect of a plane wave pulse. The other video , titled "Emitter Trajectory" refers to the particle affected by an orbital angular momentum carrying pulse.</p> <p>These videos are supplementary materials for the article titled "Time-Resolved Plasmon-Assisted Generation of Arbitrary Optical-Vortex Pulses".</p>
Data from: Maternal age at birth shapes offspring life-history trajectory across generations in long-lived Asian elephants
1. Advanced maternal age at birth can have pronounced consequences for offspring health, survival and reproduction. If carried over to the next generation, such fitness effects could have important implications for population dynamics and the evolution of ageing, but these remain poorly understood. While many laboratory studies have investigated maternal age effects, relatively few studies have been conducted in natural populations, and they usually only present a "snapshot" of an offspring's lifetime. 2. In the present study, we focus on how maternal age influences offspring life-history trajectories and performance in a long-lived mammal. 3. We use a multigenerational demographic dataset of semi-captive Asian elephants to investigate maternal age effects on several offspring life-history traits: condition, reproductive success, and overall survival. 4. We show that offspring born to older mothers display reduced overall survival but higher reproductive success, and reduced survival of their own progeny. Our results show evidence of a persistent effect of maternal age on fitness across generations in a long-lived mammal. 5. By highlighting transgenerational effects on the fitness of the next generation associated with maternal age, the present study helps increase our understanding of factors contributing to individual variation in ageing rates and fitness.
Data from: Maternal age at birth shapes offspring life-history trajectory across generations in long-lived Asian elephants
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Allen Brain Atlas
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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.