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1,321 results for “Navigation”
Uncorrected inertial navigation dataset collected on board the R/V Akademik Tryoshnikov during the austral summer of 2016/2017 as part of the Antarctic Circumnavigation Expedition (ACE).
<p><strong>Dataset abstract</strong></p> <p>A HYDRINS Inertial Navigation System (INS) was installed on the R/V Akademik Tryoshnikov during the austral summer of 2016/2017 as it circumnavigated Antarctica as part of the Antarctic Circumnavigation Expedition (ACE).</p> <p>This dataset is uncorrected but has been converted from text files to daily comma-separated files for ease of use. Otherwise the dataset has undergone no further processing.</p> <p>It covers the period from November 2016 – April 2017. Heading, attitude, position and speed data are provided.</p> <p><strong>Dataset contents</strong></p> <ul> <li>ace_hydrins_YYYYMMDD.txt, data file, comma-separated values</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata, text</li> </ul> <p><strong>Dataset license</strong></p> <p>This uncorrected inertial navigation dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p>
Information System for Cycling Navigation Database - Aveiro, Portugal
<p>This data was collected within the scope of a master's thesis in mechanical engineering from University of Aveiro, Portugal. The goal was to develop a information system for cycling navigation for an urban area of the portuguese city of Aveiro. Therefore, data collection was achieved through an instrumented alluminium bicycle equipped with a 1) GNSS Data Logger, 2) wireless heart rate recorder device and 3) video camera. 120 km were covered to collect 8h of video and about 100000 second by second data points, which were analyzed and organized through an 449 link-map built in ArcGIS. Seven different bikeability indicators were built: travel time, energy expenditure, effort distribution, infrastructure performance, safety, comfort and emissions hotspots of two pollutants (CO2 and NOx).</p> <p>This dataset is divided into three sections:</p> <ol> <li>Final Attributes - all the collected and treated data of each link, both used in the indicators and in another set for system' network analysis;</li> <li>Attributes Statistics - reveals some statistics of the weighted final atrributes achieved, such as mean, standard error, standard deviation, range, confidence level, among others;</li> <li>Link Type Statistics - reveals the distribution of the different link-types along the map and the respective average speeds recorded. </li> </ol>
Information System for Cycling Navigation for Aveiro, Portugal - Database and ArcGIS Graph
<p>This data was collected within the scope of a master's thesis in mechanical engineering from University of Aveiro, Portugal. The goal was to develop a information system for cycling navigation for an urban area of the portuguese city of Aveiro. Therefore, data collection was achieved through an instrumented alluminium bicycle equipped with a 1) GNSS Data Logger, 2) wireless heart rate recorder device and 3) video camera. 120 km were covered to collect 8h of video and about 100000 second by second data points, which were analyzed and organized through an 449 link-map built in ArcGIS. Seven different bikeability indicators were built: travel time, energy expenditure, effort distribution, infrastructure performance, safety, comfort and emissions hotspots of two pollutants (CO2 and NOx).</p> <p>The spreadsheet dataset is divided into three sections:</p> <ol> <li>Final Attributes - all the collected and treated data of each link, both used in the indicators and in another set for system' network analysis;</li> <li>Attributes Statistics - reveals some statistics of the weighted final atrributes achieved, such as mean, standard error, standard deviation, range, confidence level, among others;</li> <li>Link Type Statistics - reveals the distribution of the different link-types along the map and the respective average speeds recorded.</li> </ol> <p>In order to associate the FID numbers with the respective links, the developed ArcGIS graph was also made available. </p>
Cognitive map-based navigation in wild bats revealed by a new high-throughput tracking system
<p>Seven decades of research on the "cognitive map", the allocentric representation of space, have yielded key neurobiological insights, yet we still lack field evidence from free-ranging wild animals. Using a system capable of tracking dozens of animals simultaneously at high accuracy and resolution, we assembled a large dataset of 172 foraging Egyptian fruit bats comprising >18M localizations collected over 3,449 bat-nights across 4 years. Detailed track analysis, combined with translocation experiments, revealed that wild bats seldom exhibit random search but instead repeatedly forage in goal-directed, long and straight flights that include frequent shortcuts. Alternative non-map-based strategies were ruled out by simulations, time-lag embedding and other trajectory analyses. Our results are consistent with expectations from cognitive map-like navigation and support previous neurobiological evidence from captive bats. </p>
Sonography display demonstrating intra-operative ultrasound imaging guidance for the localization of the foreign body (dental implant) in the soft tissues of the floor of the mouth via navigation with a spinal needle.
<p>This video demonstrates the intraoperative navigation system with using sonography to localize foreign bodies in the soft tissues of the floor of the mouth with the help of a spinal needle</p>
Data presented in: Walking Drosophila navigate complex plumes using stochastic decisions biased by the timing of odor encounters
<p>How insects navigate complex odor plumes, where the location and timing of odor packets are uncertain, remains unclear. Here, we imaged complex odor plumes simultaneously with freely-walking flies, quantifying how behavior is shaped by encounters with individual odor packets. We found that navigation was stochastic, and did not rely on the continuous modulation of speed or orientation. Instead, flies turned stochastically with stereotyped saccades, whose direction was biased upwind by the timing of prior odor encounters, while the magnitude and rate of saccades remained constant. Further, flies used the timing of odor encounters to modulate the transition rates between walks and stops. In more regular environments, flies continuously modulate speed and orientation, even though encounters can still occur randomly due to animal motion. We find that in less predictable environments, where encounters are random in both space and time, walking flies instead navigate with random walks biased by encounter timing.</p>
Spatial modulation of visual responses arises in cortex with active navigation
<p>During navigation, the visual responses of neurons in mouse primary visual cortex (V1) are modulated by the animal's spatial position. Here we show that this spatial modulation is similarly present across multiple higher visual areas but negligible in the main thalamic pathway into V1. Similar to hippocampus, spatial modulation in visual cortex strengthens with experience and with active behavior. Active navigation in a familiar environment, therefore, enhances the spatial modulation of visual signals starting in the cortex.</p>
Data from: Spatial encoding in primate hippocampus during free navigation
<p>The hippocampus comprises two neural signals – place cells and theta oscillations - that contribute to facets of spatial navigation. While their complementary relationship has been well established in rodents, their respective contributions in the primate brain during free navigation remains unclear. Here we recorded neural activity in the hippocampus of freely-moving marmosets as they naturally explored a spatial environment to more explicitly investigate this issue. We report place cells in marmoset hippocampus during free-navigation that exhibit remarkable parallels to analogous neurons in other mammalian species. Although theta oscillations were prevalent in the marmoset hippocampus, the patterns of activity were notably different than in other taxa. This local field potential oscillation occurred in bouts – rather than continuously – and was neither significantly modulated by locomotion nor consistently coupled to place cell activity. These findings suggest that the relationship between place cell activity and theta oscillations in primate hippocampus during free navigation differs substantially from rodents and paint an intriguing comparative picture regarding the neural basis of spatial navigation across mammals.</p>
From behavior to circuit modeling of light-seeking navigation in zebrafish larvae
<p>Bridging brain-scale circuit dynamics and organism-scale behavior is a central challenge in neuroscience. It requires the concurrent development of minimal behavioral and neural circuit models that can quantitatively capture basic sensorimotor operations. Here we focus on light-seeking navigation in zebrafish larvae. Using a virtual reality assay, we first characterize how motor and visual stimulation sequences govern the selection of discrete swim-bout events that subserve the fish navigation in the presence of a distant light source. These mechanisms are combined into a comprehensive Markov-chain model of navigation that quantitatively predict the stationary distribution of the fish's body orientation under any given illumination profile. We then map this behavioral description onto a neuronal model of the ARTR, a small neural circuit involved in the orientation-selection of swim bouts. We demonstrate that this visually-biased decision-making circuit can similarly capture the statistics of both spontaneous and contrast-driven navigation.</p>
A comparison between mouse, in silico, and robot odor plume navigation reveals advantages of mouse odor-tracking
<p>Localization of odors is essential to animal survival, and thus animals are adept at odor-navigation. In natural conditions animals encounter odor sources in which odor is carried by air flow varying in complexity. We sought to identify potential minimalist strategies that can effectively be used for odor-based navigation and asses their performance in an increasingly chaotic environment. To do so, we compared mouse, <i>in silico</i> model, and Arduino-based robot odor-localization behavior in a standardized odor landscape. Mouse performance remains robust in the presence of increased complexity, showing a shift in strategy towards faster movement with increased environmental complexity. Implementing simple binaral and temporal models of tropotaxis and klinotaxis, an <i>in silico</i> model and Arduino robot, in the same environment as the mice, are equally successful in locating the odor source within a plume of low complexity. However, performance of these algorithms significantly drops when the chaotic nature of the plume is increased. Additionally, both algorithm-driven systems show more successful performance when using a strictly binaral model at a larger sensor separation distance and more successful performance when using a temporal and binaral model when using a smaller sensor separation distance. This suggests that with an increasingly chaotic odor environment, mice rely on complex strategies that allow for robust odor localization that cannot be resolved by minimal algorithms that display robust performance at low levels of complexity. Thus, highlighting that an animal's ability to modulate behavior with environmental complexity is beneficial for odor localization.</p>
Interindividual differences influence multisensory processing during spatial navigation
<p>The dataset contains the raw data from two experiments. We investigate the ability of spatial navigation using auditory, visual or audiovisual landmarks in the environment.</p>
P&O Navigation Statue
A statue at the Leadenhall Building (The Cheesegrater), Leadenhall Street, London. The statue reads NAVIGATION across the base and was originally located on the offices of the Peninsular & Oriental Steam Navigation Company (P&O). The figure is holding a cruise ship. Date: 1920s https://www.londonremembers.com/memorials/navigation https://www.rmg.co.uk/discover/behind-the-scenes/blog/piece-po-%E2%80%98cheesegrater%E2%80%99 156 photos taken in October 2020 with a Sony a6000 and processed in Reality Capture. Source: Objaverse 1.0 / Sketchfab
KLIFS: A Knowledge-Based Structural Database To Navigate Kinase–Ligand Interaction Space
<p>The Kinase-Ligand Interaction Fingerprints and Structure database (KLIFS) contains a consistent structural alignment and deconstruction of the kinase domains from over 1734 PDB structures covering 190 different human kinases. </p> <p>Every crystal structure was structurally aligned in a consistent manner, subsequently broken down from the full complex into separate structural parts: the protein, the orthosteric ligand-binding pocket (85 aligned residues covering the catalytic cleft), orthosteric and allosteric ligand(s), ions, organometallics, cofactors, and waters. By combining the pocket with the orthosteric ligand all interactions are annotated using Interactions FingerPrints (IFPs) for systematic comparison.</p>
Multitask Human Navigation in VR with Motion Tracking
<p>Data from human subjects in virtual reality performing some combination of collecting targets, avoiding obstacles, and following a path. Raw data has been parsed into 300 ms samples for use in machine learning algorithms. The data includes object positions in the virtual environment, human position tracking, and task instructions. </p> <p> </p>
Autonomous Intraluminal Navigation Dataset
<p>This is a dataset for lumen segmentation. The dataset is composed of 1,873 images taken from endoscopic videos of 10 different phantoms. For each endoscopic image there is its corresponding mask in png format. The dataset is divided by folders in train/val/test. The training and validation data is the one used for training the networks described in <strong>[1]</strong>. The test folder is composed of two folders from a single phantom case. For more details please check the referred publication associated with this dataset. </p><p> </p><p>[1]. J. F. Lazo et al., "Autonomous Intraluminal Navigation of a Soft Robot using Deep-Learning-based Visual Servoing," 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 2022, pp. 6952-6959, doi: 10.1109/IROS47612.2022.9982141.</p>
Data from: navigating uncertainty: managing herbivore communities enhances savanna ecosystem resilience under climate change
<p>Savannas are characterized by water scarcity and degradation, making them highly vulnerable to increased uncertainties in water availability resulting from climate change. This poses a significant threat to ecosystem services and rural livelihoods that depend on them. In addition, the lack of consensus among climate models on precipitation change makes it difficult for land managers to plan for the future. Therefore, savanna rangeland management needs to develop strategies that can sustain savanna resilience and avoid tipping points under an uncertain future climate. Our study aims to analyze the impacts of climate change and rangeland management on degradation in savanna ecosystems of southern Africa, providing insights for the management of semi-arid savannas under uncertain conditions worldwide. To achieve this, we simulated the effects of projected changes in temperature and precipitation, as predicted by ten global climate models, on water resources and vegetation (cover, functional diversity, tipping points (transition from grass-dominated to shrub-dominated vegetation)). We simulated three different rangeland management options (herbivore community dominated by grazers, by browser and by mixed-feeders), each with low and high animal densities using the ecohydrological model EcoHyD. Our results identified intensive grazing as the primary contributor to the increased risk of degradation in response to changing climatic conditions across all climate change scenarios. This degradation encompassed a reduction in available water for plant growth within the context of predicted climate change. It also entails a decline in the overall vegetation cover, the loss of functionally important plant species, and the inefficient utilization of available water resources, leading to earlier tipping points. Our findings underscore that in the face of climate uncertainty, farmers' most effective strategy for securing their livelihoods and ecosystem stability is to integrate browsers and apply management of mixed herbivore communities. This management approach not only significantly delays or averts tipping points but also maintained greater plant functional diversity, fostering a more robust and resilient ecosystem that acts as a vital buffer against adverse climatic conditions.</p>
Navigating The Dark
This powerful sculpture refers to the successive waves of immigration that have constantly changed the character of Spitalfields (London). The boat transport refugees from Turkey to the shores of the Greek islands. Wooden Boat with Seven People by the Greek-born sculptor, painter, and filmmaker [Kalliopi Lemos](http://kalliopilemos.com/project/wooden-boat-with-seven-people-at-spital-square-london/1912/). Source: Objaverse 1.0 / Sketchfab
The codes and datasets for the paper titled "Don't Confuse! Redrawing GUI Navigation Flow in Mobile Apps for Visually Impaired Users"
<h3>Project Title:</h3> <p>Redrawing GUI Navigation Flow in Mobile Apps for Visually Impaired Users</p> <h3>Description:</h3> <p>This project enhances GUI navigation accessibility for visually impaired users by analyzing GUI structures, identifying issues, and optimizing navigation flow.</p> <h3>Contents:</h3> <ol> <li><strong>Risk Warnings</strong></li> <li><strong>Variable Explanations</strong></li> <li><strong>Function Descriptions</strong></li> <li><strong>Usage Instructions</strong></li> <li><strong>Contact Information</strong></li> </ol> <h3>1. Risk Warnings:</h3> <ul> <li>Navigation analysis focuses on visible nodes only.</li> <li>Code maintenance issue in loop C.</li> <li>Prior reading of the "Info" button warning is essential.</li> <li>Potential information loss in the reordering algorithm.</li> </ul> <h3>2. Variable Explanations:</h3> <ul> <li>Constants: parameter1, parameter2, outputSign.</li> <li>Global Variables: nodeString, nodeList, intToRect, intToDir, intToInfo, infoToInt, intToSubRect, intToSubKind.</li> <li>Local Variables: sortedSon, sign, acceptable.</li> </ul> <h3>3. Function Descriptions:</h3> <ul> <li><strong>isNodeVisibleOnScreen</strong>: Checks if a node is visible on the screen.</li> <li><strong>Gestalt</strong>: Conducts a depth-first search traversal of all nodes and records the Gestalt_inspired order.</li> <li><strong>checkNodeNecessity</strong>: Further checks if a node is necessary for navigation.</li> <li><strong>DFS</strong>: Used for the reordering algorithm.</li> </ul> <h3>4. Usage Instructions:</h3> <ul> <li>Ensure thorough understanding of risk warnings.</li> <li>Modify and maintain the code as necessary.</li> <li>Read the warning prompt before using the "Info" button.</li> <li>Exercise caution with potential information loss in reordering.</li> </ul> <h3>5. Contact Information:</h3> <ul> <li>Developer: Mengxi Zhang</li> <li>Email: <a target="_new">zmxalakay@126.com</a></li> </ul> <p><strong>Note</strong>: This README provides a brief overview. Refer to the User_Guidelines documentation for detailed information.</p>
Vector Field Histogram (VFH) video results for vineyard navigation and collision avoidance
<p><strong>Video Results for PhD Thesis</strong>: This video demonstrates the implementation of Vector Field Histogram (VFH) navigation for collision avoidance within crop rows. The simulation is conducted in Gazebo, utilizing a Husky robot to showcase efficient path planning and obstacle avoidance in an agricultural setting.</p>
Computation Time, Searched Nodes and Path Length for Navigation Using Improved A-Star, Directional ORCA and FLC-ORCA
<p>Naivation simulation using Improved A*, Directional ORCA and Novel FLC-ORCA method. The computational times, searched nodes and path length are recorded for comparison. A simulation study for Robotic Navigation Aid (RNA)</p>
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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.
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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.