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733 results for “passive”
Fig. 3 in Temporal occurrence of three blue whale populations in New Zealand waters from passive acoustic monitoring
Fig. 3.—Temporal occurrence pattern of New Zealand (dark blue), Antarctic (red), and Australian (yellow) blue whale song detections at each of the five hydrophones. The y-axis represents the number of hours per day that blue whale song was detected, and the x-axis represents the recording period. Grayed out sections represent gaps in recording due to hydrophone refurbishment.
Fig. 2 in Temporal occurrence of three blue whale populations in New Zealand waters from passive acoustic monitoring
Fig. 2.—Example spectrograms of the three song types recorded in New Zealand waters. (A) New Zealand song on 31 May 2016, (B) Antarctic song on 26 August 2017, and (C) Australian song on 22 January 2017. Spectrograms are configured with a 2048-point fast Fourier transform, Hann window, 50% overlap.
Fig. 4 in Temporal occurrence of three blue whale populations in New Zealand waters from passive acoustic monitoring
Fig. 4.—Conceptual map illustrating the current understanding of the approximate typical range of each blue whale population. Colors indicate the song type, and patterns represent inferred ecological use of each region. Distribution and occurrence patterns are synthesized from acoustic research published in the literature (e.g., Stafford et al. 2004; Balcazar et al. 2015, 2017; Tripovich et al. 2015; McCauley et al. 2018; Warren et al. 2021), and findings presented in this study.
Fig. 1 in Temporal occurrence of three blue whale populations in New Zealand waters from passive acoustic monitoring
Fig. 1.—Map of the study area in the South Taranaki Bight region, with hydrophone locations denoted by the stars. Gray lines show bathymetry contours at 50-m depth increments, from 0 to 500 m. Location of the study area within New Zealand is indicated by the inset map.
Passively Addressed Robotic Morphing Surface (PARMS) based on machine learning
<p>Reconfigurable morphing surfaces provide new opportunities for advanced human-machine interfaces and bio-inspired robotics. Morphing into arbitrary surfaces on demand requires a device with a sufficiently large number of actuators and an inverse control strategy that can calculate the actuator stimulation necessary to achieve a target surface. The programmability of a morphing surface can be improved by increasing the number of independent actuators, but this increases the complexity of the control system. Thus, developing compact and efficient control interfaces and control algorithms is a crucial knowledge gap for the adoption of morphing surfaces in broad applications. In this work, we describe a passively addressed robotic morphing surface (PARMS) composed of matrix-arranged ionic actuators. To reduce the complexity of the physical control interface, we introduce passive matrix addressing. Matrix addressing allows the control of N<sup>2</sup> independent actuators using only 2N control inputs, which is significantly lower than N<sup>2</sup> control inputs required for traditional direct addressing. Our control algorithm is based on machine learning using finite element simulations as the training data. This machine-learning approach allows both forward and inverse control with high precision in real time. Inverse control demonstrations show that the PARMS can dynamically morph into target surfaces on demand. These innovations in actuator matrix control may enable future implementation of PARMS in wearables, haptics, and augmented reality/virtual reality (AR/VR).</p>
Passive electroreception in bottlenose dolphins Tursiops truncatus: implication for micro- and large-scale orientation
<p>For the two dolphin species <em>Sotalia guianensis</em> and <em>Tursiops truncatus,</em> it was shown that the vibrissal crypts located on the rostrum represent highly innervated, ampullary electroreceptors and that both species are correspondingly sensitive to weak electric fields. For a comparative assessment of the sensitivity of the bottlenose dolphin's electroreceptive system, we determined detection thresholds for DC and AC electric fields with two bottlenose dolphins. In a psychophysical experiment, the animals were trained to respond to electric field stimuli using the go/no-go paradigm. We show that bottlenose dolphins are able to detect DC electric fields as low as 2.4 &[mu]V cm <sup>-1</sup> and 5.5 &[mu]V cm <sup>-1</sup>, respectively, a detection threshold in the same order of magnitude as those in the platypus and the Guiana dolphin. Detection thresholds for AC fields (1, 5, and 25 Hz) were generally higher than those for DC fields, and the sensitivity for AC fields decreased with increasing frequency. Although the electroreceptive sensitivity of dolphins is lower than that of elasmobranchs, it is suggested that it allows orientation at micro and large scales. In dolphins pursuing benthic foraging strategies, electroreception may facilitate short-range prey detection and target-oriented snapping of their prey. Furthermore, we discuss that the ability to detect weak electric fields may enable dolphins to detect the Earth's magnetic field through induction-based magnetoreception, thus allowing large-scale orientation.</p>
Passive permeability controls synthesis for the allelochemical sorgoleone in sorghum root exudate
<p>Input structures for a manuscript, along with selected output data and structures. This directory structure contains a cut-down copy of the directories used to generate the simulation data and the analysis. In order to make this fit into the 50GB Zenodo limit, it was constructed with the following tar command: tar -zcvf sorgoleonepermeability.tar.gz --exclude="*BAK" --exclude="*#" --exclude="*log" --exclude="*xsc" --exclude="*coor" --exclude="*vel" --exclude="*[0-9].out" --exclude="*old" --exclude="*dcd" --exclude="*tmp" --exclude="*ppm" --exclude="*png" --exclude="*pdf" --exclude="*catchy*" --exclude="*svg" --exclude="*restart*" --exclude="*history" --exclude="core.*" --exclude="FFTW_NAMD*" --exclude="*avi" --exclude="*mp4" sorgoleone-permeability, which intentionally excludes large files. The full dataset that includes trajectories is available upon request.</p> <p>The data is split into two directories initially "<strong>build</strong>" and "<strong>Simulations</strong>"</p> <ul> <li>"<strong>build</strong>" directory is the part where initial system for unbiased and biased simulation were build using "<strong>resolvate.tcl</strong>" and "<strong>smd-single-build-system.tcl</strong>" respectively.</li> <li>"<strong>Simulations</strong>" directory has the different namd files for running unbiased simulation, steered molecular dynamics and replica exchange umbrella sampling.</li> </ul> <p>The folder structure was generated using "<strong>gendirs*.py</strong>".<br> The unbiased simulations were run using "<strong>run.namd</strong>".<br> Steered molecular dynamics namd files were with name "<strong>step*.namd</strong>" and colvars configuration file are named "<strong>step*.conf</strong>".<br> <br> Replica exchange moleuclar dynamics (REUS) system was generated using "<strong>buildreplicas*.tcl</strong>".<br> Replica windows size and force constant were written into a namd configuration file using "<strong>reus-genscript*.py</strong>".<br> REUS general configuration file containing the parameters and forcefield is named as "<strong>base.namd</strong>".<br> Colvars for leaflet exchange REUS are in "<strong>replicadistZcolvars.conf</strong>".<br> Colvars for absorption into water REUS are in "<strong>replicadistcoordNumclovar.conf</strong>".<br> Colvars for absorption into organic phase REUS are in "<strong>replica-blob-run4.conf</strong>"</p> <p>Umbrella sampling is performed with "<strong>umbrella.namd</strong>".</p> <p>For visualizing trajectories in VMD "<strong>load*.tcl</strong>" scripts were used.</p>
Passive Bias-Free Nonreciprocal Metasurfaces Based on Thermally Nonlinear Quasi-Bound States in the Continuum
<p>This dataset contains tabulated versions of the experimental data shown in the pictures of the publication " Passive Bias-Free Nonreciprocal Metasurfaces Based on Thermally Nonlinear Quasi-Bound States in the Continuum".</p>
Understanding and mitigating resistive losses in fired passivating contacts: role of the interfaces and optimization of the thermal budget
<p>We study p-type passivating contacts based on SiC<sub>x</sub> formed via a rapid thermal processing step, using conditions compatible with the firing used to sinter screen-printed metallization pastes in industry. Firstly, we separate the contributions of the two interfaces to the contact resistivity (wafer/contact and contact/metal), identifying tunnelling at the wafer interface as the main contribution. We then investigate the dependence of contact resistivity and sheet resistance of the SiC<sub>x</sub> layer on the concentration of active dopants and we propose strategies to reduce both resistances by increasing the thermal budget applied during firing. Lastly, we discuss potentials and limitations of implementing the investigated stacks as rear side contacts of p-type devices with localized metallization, and we show that an oxide layer that can withstand high thermal budgets is the key factor for obtaining high passivation quality and good electrical properties at the same time. The results obtained with an oxide based on N<sub>2</sub>O plasma oxidation show that this layer is a promising candidate for such an application.</p>
Receiver-function datasets of the passive-source seismic profiles in the northeastern Tibetan plateau contributed by LRC
Open the record for dataset details and reuse information.
Effect of Passive Exercise on Systemic Endothelial Function in Elderly Patients With Chronic Heart Failure
ClinicalTrials.gov study NCT00733161. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Perception-Action Approach vs. Passive Stretching for Infants With Congenital Muscular Torticollis
ClinicalTrials.gov study NCT02824848. IPD Sharing: NO. Countries: 1. Publications: 8.
Myocardial Micro-damage in Relation to Active and Passive Fixation Pacemaker Electrodes
ClinicalTrials.gov study NCT01897558. IPD Sharing: Not stated. Countries: 3. Publications: 1.
Experimental Use of Convalescent Plasma for Passive Immunization in Current COVID-19 Pandemic in Pakistan in 2020
ClinicalTrials.gov study NCT04352751. IPD Sharing: NO. Countries: 1. Publications: 5.
Passive Sensing Technology for Lapse Measurement
ClinicalTrials.gov study NCT03739151. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Effects of Active Versus Passive Recharge Burst Spinal Cord Stimulation on Pain Experience in Persistent Spinal Pain Syndrome Type 2: a Multicenter Randomized Trial (BURST-RAP Study)
ClinicalTrials.gov study NCT05421273. IPD Sharing: NO. Countries: 1. Publications: 1.
Understanding the Effects of Quantitatively-Prescribing Passive-Dynamic Ankle-Foot Orthosis Bending Stiffness for Individuals Post-Stroke
ClinicalTrials.gov study NCT04619043. IPD Sharing: NO. Countries: 1. Publications: 8.
Effectiveness of an Occupational Passive Back-exoskeletons on the Biomechanical Load of Warehouse Workers.
ClinicalTrials.gov study NCT05890300. IPD Sharing: NO. Countries: 1. Publications: 8.
Comparison of Virtual Reality and Passive Distraction on Burn Wound Care Pain in Adolescents
ClinicalTrials.gov study NCT01812655. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Performance of Rigid Gas Permeable (RGP) Scleral Contact Lenses With a Passive Artificial Iris
ClinicalTrials.gov study NCT04040790. IPD Sharing: NO. Countries: 1. Publications: 6.
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.