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733 results for “passive”
Data from: Optimizing passive acoustic monitoring (PAM) for Biodiversity Studies: using species-area relationship (SAR) to predict species richness
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A novel method for estimating avian roost sizes using passive acoustic recordings
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Acoustic features as a tool to visualize and explore marine soundscapes: Applications illustrated using marine mammal Passive Acoustic Monitoring datasets
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Data from: Performance of unmarked abundance models with data from machine-learning classification of passive acoustic recordings
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Asymmetry in kinematic generalization between visual and passive lead-in movements are consistent with a forward model in the sensorimotor system
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Data for: Large-scale long-term passive-acoustic monitoring reveals spatiotemporal activity patterns of boreal bats
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Data from: Species-specific effects of passive warming in an Antarctic moss system
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Estimating the abundance of the critically endangered Baltic Proper harbour porpoise (Phocoena phocoena) population using passive acoustic monitoring
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Data from: Narwhal (Monodon monoceros) echolocation click rates to support cue counting passive acoustic density estimation
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Data for a global meta-analysis of passive experimental warming effects on plant traits and community properties
This database contains the data used in a global meta-analysis of warming effects on plants. L0 data are available upon request; they include the raw data from 126 warming experiments. The L1 data are the result of merged L0 data and are cleaned for typos and are standardized names. L1 data contain plant trait and community property measurements in both warmed and ambient conditions. L2 data contain the effect sizes of warming for each study. These data came from 126 warming experiments across the globe.
Passive Morphological Adaptation for Obstacle Avoidance in a Self-Growing Robot Produced by Additive Manufacturing
<p>Dataset acquired for the obstacle negotiation experiments. The dataset collects the forces obtained by the growing robot when facing obstacles at different inclinations.</p> <p>You an find the related publication on https://doi.org/10.1089/soro.2019.0025</p>
Comparing distribution of harbour porpoises (Phocoena phocoena) derived from satellite telemetry and passive acoustic monitoring
<p>Data used for publication in Plos One. Two excel files. The satellite_filtered_data is the filtered satellite positions used for MaxEnt modelling in R. The CPOD_data_PPH is the raw C-POD data expressed here as porpoises positive hours (PPH) and can easily be converted to porpoise positive days (PPD).</p>
Passivity-Based Control for a Micro Air Vehicle using Unit Quaternions
<p>In this paper the development and practical implementation of a Passivity-Based<br> Control (PBC) algorithm to stabilize an Unmanned Aerial Vehicle (UAV) described with unit<br> quaternions are presented. First, a mathematical model based on Euler-Lagrange formulation<br> using a logarithmic mapping in the quaternion space is introduced. Then, a new methodology:<br> a quaternion-passivity-based control is derived, which does not compute excessive and complex Partial Differential Equations (PDEs) for synthesizing the control law, making a significant advantage in comparison with other methodologies. Therefore, the control design to a system as the quad-rotor is easily solved by the proposed methodology. Another advantage is the possibility to stabilize quad-rotor full dynamics which may not be possible with classical PBC techniques. Experimental results and numerical simulations to validate our proposed scheme are presented.</p>
Does external pneumatic compression treatment between bouts of overreaching resistance training sessions exert differential effects on molecular signaling and performance-related variables compared to passive recovery? An exploratory study
<p>Supplemental Information: Data set respective to manuscript published in PLOS ONE titled "<strong>Does external pneumatic compression treatment between bouts of overreaching resistance training sessions exert differential effects on molecular signaling and performance-related variables compared to passive recovery? An exploratory study" </strong></p>
Hemispheric diferences in the processing of visual consequences of active vs. passive movements: a transcranial direct current stimulation study
<p>Dataset related to the following publication:</p> <p>Straube, B., Schülke, R., Drewing, K., Kircher, T., van Kemenade, B.M. (2017). Hemispheric differences in the processing of visual consequences of active vs. passive movements: a transcranial direct current stimulation study. Exp. Brain Res. DOI: 10.1007/s00221-017-5053-x</p>
Passive Non-Cooperative Intruder State Estimation and Optimal-Feedback Avoidance System for UAVs
<p>In recent years, numerous applications for unmanned aircraft systems (UAS) have emerged, such as manufacturing inspections and reconnaissance. Ensuring safety is crucial for integrating UAS into the National Airspace System (NAS); this integration is being conducted on the basis of a century of experience that has made manned aircraft operations incredibly safe.</p><p>A key challenge for unmanned flight is the inability to "detect-and-avoid" (DAA) obstacles. Various DAA systems have been proposed in recent years, each employing different sensor modalities. Cooperative systems enable air vehicles to exchange state information, while devices like the Automatic Dependent Surveillance-Broadcast (ADS-B) and Traffic Collision Avoidance System (TCAS) use satellite navigation sensors and transponders, respectively, to broadcast position data. Additionally, the Airborne Collision Avoidance System (ACAS) led to the creation of the ACAS-XU standard for unmanned aircraft.</p><p>The DAA capability for UAS must be extended to address non-cooperative intruders. This paper introduces an integrated vision-based passive collision alert system (PCAS) and guidance system that is designed to detect and optimally avoid collision with non-cooperative intruders. The system can adhere to recently-introduced regulations for safety zones and can be customized pre-flight. Hardware-in-the-loop (HITL) simulation demonstrates the feasibility for deployment on UAS in a plug-and-play fashion.</p>
Behavioral data associated with "Passive exposure to task-relevant stimuli enhances categorization learning"
<p>Behavioral data associated with Schmid et al. (2023) "<i>Passive exposure to task-relevant stimuli enhances categorization learning</i>", and example code for loading these data. See README.md for details.</p><p> </p>
Social network shrinking is explained by active and passive effects but not increasing selectivity with age in wild macaques
<p>Evidence of social disengagement, network narrowing, and social selectivity with advancing age in several non-human animals challenges our understanding of the causes of social ageing. Natural animal populations are needed to test whether social ageing and selectivity occur under natural predation and extrinsic mortality pressures, and longitudinal studies are particularly valuable to disentangle the contribution of within-individual ageing from the demographic processes that shape social ageing at the population level. Data on wild Assamese macaques (<em>Macaca assamensis</em>) were collected between 2013 and 2020 at the Phu Khieo Wildlife Sanctuary, Thailand. We investigated the social behaviour of 61 adult females observed for 13,270 hours to test several mechanistic hypotheses of social ageing and evaluated the consistency between patterns from mixed-longitudinal and within-individual analyses. With advancing age, females reduced the size of their social network, which could not be explained by an overall increase in the time spent alone, but by an age-related decline in mostly active, but also passive, behaviour, best demonstrated by within-individual analyses. A selective tendency to approach preferred partners was maintained into old age but did not increase. Our results contribute to our understanding of the driver of social ageing in natural animal populations and suggest that social disengagement and selectivity follow independent trajectories during ageing.</p>
NOAA PSL thermodynamic profiles retrieved from a combination of active and passive remote sensors and numerical weather prediction models with the optimal estimation physical retrieval TROPoe at Platteville, CO, USA
<p>This dataset contains retrieved profiles of thermodynamic variables obtained using the Tropospheric Remotely Observed Profiling via Optimal Estimation (TROPoe) physical retrieval from various combinations of input data collected by passive and active remote sensing instruments, in-situ surface platforms, and numerical weather prediction models deployed at the Platteville, CO, USA, site in fall 20221-winter 2022. Among the employed instruments are Microwave Radiometers (MWRs), Infrared Spectrometers (IRS), Radio Acoustic Sounding Systems (RASS), ceilometers, surface sensors, and information from the operational Rapid Refresh numerical weather prediction model.</p> <p>The dataset also includes 15 radiosounding launched for assessing the retrievals.</p> <p>For further information, please see:</p> <p>Bianco, L., Adler, B., Bariteau, L., Djalalova, I. V., Myers, T., Pezoa, S., Turner, D. D., and Wilczak, J. M.: Sensitivity of thermodynamic profiles retrieved from ground-based microwave and infrared observations to additional input data from active remote sensing instruments and numerical weather prediction models, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2023-263, in review, 2024.</p>
CONSTRUCTION OF A PASSIVE SOLAR THERMAL AIR HEATER USING ALUMINUM CANS
<p><strong>Abstract:</strong></p> <p>The technology of solar air heating system is an emerging field in Nigeria. Due to the epileptic power supply in Nigeria, alternative energy sources are beings ought. This project involves the construction of a portable solar air heater. Theconstruction of the solar air heater was done using relevant equations to size the major components of the system. The materials for the components were then selected with consideration to the market availability and cost of the materials.</p> <p>The system was then constructed using the selected materials, and the performance was also studied. The system consists of a flat-plate collector with a single layer of glass on top, and an absorber plate made of aluminium soda cans.</p> <p>The system was tested for three days, and the highest outlet temperature recorded was 48°C. The highest irradiance recorded was 925 W/m² on the first day of testing. The highest efficiency recorded from the system was 41% on the first day of testing.</p> <p> </p> <p><strong>Keywords</strong>: Solar energy, Solar air heater, Aluminium soda cans. </p>
ScienceDex guides
Understand access before you commit
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.