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1,321 results for “Navigator”
FIGURE 2. Navigator male aedeagi. A—Navigator fossor. B—Navigator pixii. C in Navigator, a new endemic genus of Cetoniinae (Coleoptera: Scarabaeidae) from Australia, with descriptions of two new species and behavioural studies
FIGURE 2. Navigator male aedeagi. A—Navigator fossor. B—Navigator pixii. C—Navigator ruficornis. Note: male N. interior are unknown.
FIGURE 1. Navigator characters. A in Navigator, a new endemic genus of Cetoniinae (Coleoptera: Scarabaeidae) from Australia, with descriptions of two new species and behavioural studies
FIGURE 1. Navigator characters. A—characters of the head (example N. pixii male): A1—margins laterally divergent, A2— head widest preapically, A3—shallow arcuate to linear anterior margin, A4—gradually inclined margins, A5—shallow preclypeus, A6—cross-section, A7—lateral declivity absent. B—characters of the head (example N. ruficornis female): B1— lateral declivity present, B2—deep preclypeus, B3—cross-section, B4—lateral declivity present. C—characters of the pronotum (example N. pixii male): C1—concave linear basolateral margin, C2—broad median angle of lateral margins, C3— coarsely punctate disc. D—characters of the elytra (example N. pixii male, except D9): D1—weakly sinuate-linear posthumeral arch, D2—slightly exposed metacoxa, D3—elytral basal half parallel sided, D4—apical half of elytra broadly arcuate to apex, D5—slightly protruding mesepimeron, D6–7—indistinctly raised apical umbone, D8—visible pygidium D9—pygidium not well visible (example N. ruficornis). E—characters of the female abdomen: E1—distinctly convex and distended sternites, E2—pygidium in normal plane (example N. ruficornis), E3—pygidium in elevated plane (example N. pixii). F—character of the abdomen: F1—undeveloped mesometasternal process. G—metacoxa posterolateral angle: G1—angulate (examples N. pixii and N. ruficornis), G2—broadly arcuate (example N. fossor), G3—spinose (example N. interior). H–K: characters of the metatibia: H—Navigator fossor female: H1—spatulate internal spur, H2—unidentate, H3—trispinose apex. I—Navigator ruficornis female: I1—large, median denticle, I2—trispinose apex. J—Navigator interior female: J1—small, median denticle. K—Navigator pixii male: K1—unispinose apex. Note: cross-sections in A and B are from clypeal anterolateral angle to clypeolateral margin, not in transverse axis.
CBF-Based Motion Planning for Socially Responsible Robot Navigation Guaranteeing STL Specification
<p>Video of submitted paper entitled "CBF-Based Motion Planning for Socially Responsible Robot Navigation Guaranteeing STL Specification"</p>
Data from: "Navigating through Complexity: Optimizing Cathodes for Organic Electrohydrogenation through Coherent Workflows"
<p>The data used in "<strong>Navigating through Complexity: Optimizing Cathodes for Organic Electrohydrogenation through Coherent Workflows</strong>". </p>
Data accompanying The preoptic area and dorsal habenula jointly support homeostatic navigation in larval zebrafish
<p>"<strong>The preoptic area and dorsal habenula jointly support homeostatic navigation in larval zebrafish"</strong></p><p>This repository contains the data presented in Palieri et al, 2023 (preprint <a href="https://www.biorxiv.org/content/10.1101/2023.05.18.541289v1">https://www.biorxiv.org/content/10.1101/2023.05.18.541289v1</a> ).</p><p>The data is organized into the following subfolders:</p><ul><li><strong>Behavior</strong>: This folder contains all the data related to freely swimming experiments, including both spatial (spatial_gradient subfolder) and temporal (temporal_gradient subfolder) temperature gradients. The former also includes data from chemogenetic and 2-photon mediated ablations.</li><li><strong>Imaging</strong>: Within this folder, you will find data obtained through confocal microscopy (in the confocal subfolder) and lightsheet microscopy (in the lightsheet subfolder). Confocal imaging was used to verify proper habenula ablation (dHb_preablation and dHb_postablation). Lightsheet imaging was performed for functional calcium imaging experiments during temperature and salinity gradients. The lightsheet subfolder is further subdivided into long and short experiments, with each fish having its own dedicated folder. Inside each fish's folder, you can access imaging data (traces, local coordinates, coordinates in reference space, along with relevant indexes such as the reliability index) and behavioral data (acquired using the Stytra software).</li></ul><p>Please contact Ruben Portugues for further information.</p>
Navigation Test in Simulated Environment Rosbag. Human obstacle detection.
<p>This repository contains rosbags (ROS 2 Humble) extracted from a navigation test realized in a simulated environment (Amazon Hospital map) with an RB1 robot. The test consist of a navigation form one point to another with a human obstacle avoidance.</p> <p> </p> <p>This research is part of the project TESCAC, financed by “European Union NextGeneration-EU, the Recovery Plan, Transformation and Resilience, through INCIBE".</p>
Data For: Retrieval Augmented Docking using Hierarchical Navigable Small Worlds
<p>These are the DOCK scores for the DUDE-Z "goldilocks" molecules docked to each of the 43 DUDE-Z proteins used in the paper: Retrieval Augmented Docking using Hierarchical Navigable Small Worlds.</p> <p>The data is saved as a pickle of a python dictionary. The keys are the ZINC IDs of the molecules, and the values are lists where the first entry is the corresponding SMILES string, and the second is a dictionary of DOCK scores for each DUDE-Z receptor. If a receptor does not appear in a particularly molecule's dictionary, it means that the molecule failed to dock to the receptor.</p> <p>{</p> <p>zinc_id1: [SMILES, {receptor1:score, receptor2:score,...} ],</p> <p>zinc_id2: [SMILES, {receptor1:score, receptor2:score,...} ],</p> <p>....</p> <p>}</p>
Rushing and Strolling among Answer Sets - Navigation Made Easy (Experiments)
<p>The experiments, we conducted.</p>
Data from: Can matrix structure affect animal navigation between fragments? A dispersal experiment using release platforms
<p>The persistence of species in fragmented landscapes relies on landscape connectivity and individuals' ability in dispersing among habitat patches. Accordingly, matrix structure can affect the orientation of dispersing individuals across the landscape. In this study, we measured the impact of matrix structure on the dispersal performance of the white-eared opossum (Didelphis albiventris). We released individuals in three types of matrix: bare field, corn crops and soybean crops, with distances of 30, 50 and 100 m to the nearest habitat patch. To test if the release height would affect the individuals' dispersal performance, we released animals from the ground and from 2 m high platforms. We released and tracked 14 individuals in bare field on the ground; 30 in corn crops, 22 on the ground and 8 on platforms; 17 on soybeans crop, 12 on the ground and 5 on platforms. The type of matrix influenced the perceptual range. Perceptual range was 100 m in bare field, 50 m in cornfield and less than 30 m in soybean field. The platforms only increased the perceptual range of individuals in the cornfield from 50 to 100 m. Visual and olfactory cues would cause this effect. We conclude that matrix structure affects dispersal performance, and that vertical elements of the matrix, such as scattered trees, may increase orientation in crop fields during inter-patch dispersal.</p>
Risky business: how an herbivore navigates spatio-temporal aspects of risk from competitors and predators
<p>Understanding factors that influence animal behavior is central to ecology. Basic principles of animal ecology imply that individuals should seek to maximize survival and reproduction, which means carefully weighing risk against reward. Decisions become increasingly complex and constrained, however, when risk is spatiotemporally variable. We advance a growing body of work in predator-prey behavior by evaluating novel questions where a prey species is confronted with multiple predators and a potential competitor. We tested how fine-scale behavior of female mule deer (Odocoileus hemionus) during the reproductive season shifted depending upon spatial and temporal variation in risk from predators and a potential competitor. We expected female deer to avoid areas of high risk when movement activity of predators and a competitor were high. We used GPS data collected from 65 adult female mule deer, 35 adult female elk, 33 adult coyotes, and six adult mountain lions. Counter to our expectations, female deer exhibited selection for multiple risk factors, however, selection for risk was dampened by the exposure to risk within deer home ranges, producing a functional response in habitat selection. Furthermore, temporal variation in movement activity of predators and elk across the diel cycle did not result in a shift in movement activity by female deer. Instead, the average level of risk within their home range was the predominant factor modulating the response to risk by female deer. Our results counter prevailing hypotheses of how large herbivores navigate risky landscapes, and emphasize the importance of accounting for the local environment when identifying effects of risk on animal behavior. Moreover, our findings highlight additional behavioral mechanisms used by large herbivores to mitigate multiple sources of predation and potential competitive interactions.</p>
Could an Immersive Virtual Reality training improve navigation skills in children with cerebral palsy? A pilot controlled study
<p>The dataset includes demographic data, visuospatial abilities and navigational abilities in tipically developing children, in children with cerebral palsy that performed a 20-sessions motor training in immersive virtual reality (GRAIL system by Motek) and in children with cerebral palsy that performed a 20-sessions navigation training with specific applications designed for the GRAIL system. </p>
FIG. 4 in Towards Navigating the Minotaur's Labyrinth: Cryptic Diversity and Taxonomic Revision within the Speciose Genus Hipposideros (Hipposideridae)
FIG. 4. Morphological comparisons of the frontal sacs and noseleaves in A — Macronycteris commersonii (FMNH 213588, ♀), Madagascar, Province d'Antsiranana, Réserve Spéciale d'Ankarana [now Parc National], near Andrafiabe Cave, 31 October 2010; B — M. gigas (FMNH 128212, ♀), Senegal, Casmance, Diabane, 12 km SW of Adeane, 15 January 1983; C — M. vittatus (FMNH 192800, ♀, sequenced for Cyt-b), Tanzania, Pemba Island, Kaskazini Region, Micheweni District, Kilijini Village, 3 August 2006; and D — Doryrhina cyclops (FMNH 164973), Uganda, Masindi District, Budongo Forest, 25 June 1998. The form of M. cryptovalorona is similar to M. commersonii and no comparative specimen material was available for M. thomensis. Drawing by Velizar Simeonovski
FIG. 3 in Towards Navigating the Minotaur's Labyrinth: Cryptic Diversity and Taxonomic Revision within the Speciose Genus Hipposideros (Hipposideridae)
FIG. 3. Time tree resulting from MCMCTREE analysis in PAML using the MrBayes topology shown in Fig. 1. The analysis was constrained using two calibrations, one applied to the root and a fossil calibration applied to the split between Rhinonicteris and Cloeotis (see Materials and Methods for details). Numbers at nodes are divergence time estimates in millions of years. 95% confidence intervals for each node are denoted by grey bars. See Table 1 for definitions of acronyms
FIG. 2 in Towards Navigating the Minotaur's Labyrinth: Cryptic Diversity and Taxonomic Revision within the Speciose Genus Hipposideros (Hipposideridae)
FIG. 2. Resulting MrBayes tree from Bayesian analysis of the Cyt-b dataset under a GTR+G model of sequence evolution. The analysis was rooted using Doryrhina cyclops (not shown). Support values for both the ML and BA analysis are shown, with posterior probabilities converted to percentages. Clades referring to the commersonii species groups identified in Rakotoarivelo et al. (2015) are highlighted. Samples sequenced as part of this study, including a re-sequenced sample of H. vittatus FMNH 192857 from Pemba, are highlighted in bold. See Table 1 for definitions of acronyms. Where sampling sites are known for Malagasy samples, the site is given followed by the code MG to indicate Madagascar
FIG. 1 in Towards Navigating the Minotaur's Labyrinth: Cryptic Diversity and Taxonomic Revision within the Speciose Genus Hipposideros (Hipposideridae)
FIG. 1. Phylogenetic tree inferred from Bayesian analysis in MrBayes from the ca. 3 kb nuclear intron dataset under a fully partitioned model. At each node nodal support is shown as bootstrap support from the RAxML analysis and posterior probabilities from the Bayesian analysis converted to percentages. Black squares denote highly supported nodes with bootstrap values of 100 for the ML analysis and a posterior probability of 1. Filled circles denote African species and open circles denote Asian taxa. '-' indicates that the relationship was not recovered in the ML analysis. See Systematic Summary for full description of the newly elevated genera Macronycteris and Doryrhina. See Table 1 for definitions of acronyms
Data for "What it Takes to Get There: Spatial Cognition and Autonomous Indoor Robot Navigation"
Open the record for dataset details and reuse information.
CoqPyt: Proof Navigation in Python in the Era of LLMs
<p>Replication package with code and CompCert dataset accompanying the paper "CoqPyt: Proof Navigation in Python in the Era of LLMs".<br>The file provided here is a Docker image. To use it, follow the steps:</p><p> </p><p>1. docker load < coqpyt.tar</p><p>2. docker run -it --name coqpyt -d coqpyt /bin/bash</p><p>3. docker attach coqpyt<br> </p><p>After these steps, see the README.</p>
Fractal OME-Zarr Test data for napari-ome-zarr-navigator
<p>Test OME-Zarr data for https://github.com/fractal-analytics-platform/napari-ome-zarr-navigator</p> <p> </p> <p>Contains a 2 HCS OME-Zarrs (2D & 3D) with 2 wells (B03, B05), each with 2 FOVs and the following AnnData tables for each well:</p> <ol> <li>Condition table</li> <li>Feature measurement table</li> <li>2 ROI tables</li> </ol>
Navigating the Maze of Mass Spectra: A Machine-Learning Guide to Identifying Diagnostic Ions in O-Glycan Analysis
<p>FragmentFactory_dataset is a pickled pandas DataFrame and should be loaded using the following code:</p> <pre><code>import pandas as pd FF_data = pd.read_pickle('/my_directory/FragmentFactory_dataset.pkl')</code></pre> <p> </p>
JDIAZ - Navigating Digital Transformation and Technology Adoption: Data & High RES Images
<p>JDIAZ - Navigating Digital Transformation and Technology Adoption: Data & High RES Images</p> <p><strong>Navigating Digital Transformation and Technology Adoption: A Literature Review from Small and Medium Enterprises in Developing Countries</strong></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.
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.