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1,007 results for “Smoothing”
Can technical education in high school smooth postsecondary transitions for students with disabilities?
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Smoothed monthly Greenland ice sheet elevation changes during 2003-2023
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Epigynal scape tongue-shaped, the tip smoothly rounded (c1) in An of Zelotibia (Araneae, Gnaphosidae), a spider genus with a species swarm in the Albertine Rift
Epigynal scape tongue-shaped, the tip smoothly rounded (c1)
Data from: Are skyline plot-based demographic estimates overly dependent on smoothing prior assumptions?
<p>In Bayesian phylogenetics, the coalescent process provides an informative framework for inferring changes in the effective size of a population from a phylogeny (or tree) of sequences sampled from that population. Popular coalescent inference approaches such as the Bayesian Skyline Plot, Skyride and Skygrid all model these population size changes with a discontinuous, piecewise-constant function but then apply a smoothing prior to ensure that their posterior population size estimates transition gradually with time. These prior distributions implicitly encode extra population size information that is not available from the observed coalescent data i.e. the tree. Here we present a novel statistic, Ω, to quantify and disaggregate the relative contributions of the coalescent data and prior assumptions to the resulting posterior estimate precision. Our statistic also measures the additional mutual information introduced by such priors. Using Ω we show that, because it is surprisingly easy to over-parametrise piecewise-constant population models, common smoothing priors can lead to overconfident and potentially misleading inference, even under robust experimental designs. We propose Ω as a useful tool for detecting when posterior estimate precision is overly reliant on prior choices.</p>
LRP predicts smooth pursuit eye movement onset during the ocular tracking of self-generated movements
<p>Dataset relative to the following publication:</p> <p>Chen, J., Valsecchi, M. & Gegenfurtner, K.R. (2016). LRP predicts smooth pursuit eye movement onset during the ocular tracking of self-generated movements. <em>Journal of Neurophysiology, </em>in press</p> <p>Each folder contains the data relative to one experiment and the script that was used to generate them. Please refer to "Description on data format.txt" for the usage of the data.</p> <p>Additional information can be deducted from the experimental scripts.</p>
Visual sensitivity for luminance and chromatic stimuli during the execution of smooth pursuit and saccadic eye movements
<p>Dataset relative to the following publication:</p> <p>Braun, D. I., Schütz, A. C., & Gegenfurtner, K. R. (2017). Visual sensitivity for luminance and chromatic stimuli during the execution of smooth pursuit and saccadic eye movements. Vision Research</p>
Discrimination of curvature from motion during smooth pursuit eye movements and fixation
<p>One folder contains all the data for the main experiment. In the folder you can find a file dataREADME, which explains the format and the content of the individual files. A second folder contains the data files for the additional control experiment with shorter presentation durations. The structure of the data is the same. It includes two folders. One which constains the perceptual data for the shorter presentation durations and one with eye traces of the same participants for the oculometric thresholds. The name of the folder indicates also the length of the presentation duration, either 150 or 300 ms.</p>
Dynamic integration of information about salience and value for smooth pursuit eye movements
<p>Dataset from the following publication:</p> <p>Schütz, A. C., Lossin, F., & Gegenfurtner, K. R. (2015). Dynamic integration of information about salience and value for smooth pursuit eye movements. <em>Vision Research, 113</em>, 169-178. <a>doi:10.1016/j.visres.2014.08.009 <span></span></a><a></a> .</p>
Data and scripts for the submission "A locally smoothed terrain-following vertical coordinate to improve the simulation of fog and low stratus in numerical weather prediction models"
<p>Dataset and scripts used to generate Figures for "A locally smoothed terrain-following vertical coordinate to improve the simulation of fog and low stratus in numerical weather prediction models", submitted to the <strong><em>Journal of Advances in Modeling Earth Systems</em></strong> (JAMES).</p> <p>Scripts: Python and NCL</p> <p>Data: Netcdf, PNG, Python pickled objects</p>
Smooth Stone
This stone has been deliberately rubbed to obtain a smooth surface. Purpose unknown. Dated 500BC-500AD. Source: Objaverse 1.0 / Sketchfab
How to Keep Your AC Running Smoothly
<p>During hot summer months, there's nothing more frustrating than an air conditioner that doesn’t perform as expected. Whether it's struggling to cool your home or inexplicably giving up, these issues can be frustrating to deal with. The good news is that proper maintenance can often help you avoid these issues, and this guide will cover all of the steps you should take to keep your AC unit in top shape.</p> <h3><strong>Step #1 - Clean or Replace Air Filters Regularly</strong></h3> <p>Your air conditioner's filter plays a crucial role in its performance and efficiency. A dirty filter can block airflow, reducing the system's ability to cool your home and causing it to work harder than necessary. Over time, this strain can lead to higher energy bills and even system failure. To avoid these issues, aim to check your air filter every month, especially during periods of heavy use.</p> <p>If your filter looks dirty or clogged, it’s time for a new one. Many filters are simple to replace and can be found at your local hardware store. Keeping a clean filter will not only help your AC system run efficiently but it will also improve indoor air quality.</p> <h3><strong>Step #2 - Check and Clear Condensate Drain Line</strong></h3> <p>The condensate drain line is another vital component of your AC system. It removes the moisture your air conditioner extracts from the air. If this line becomes clogged, it can lead to water damage and increased humidity levels in your home. It's a good idea to check this line regularly, looking for any visible blockages.</p> <p>To do this, you'll need to locate the drain line, which is usually found outdoors near the condenser unit. Slowly pour a cup of water through the access point to see if it flows out freely. If it seems clogged, using a wet/dry vacuum to clear blockages can be a quick fix.</p> <h3><strong>Step #3 - Proper Thermostat Calibration</strong></h3> <p>Your thermostat is essentially the command center of your cooling system. If it's not calibrated correctly, it could cause your AC to work overtime without delivering the desired results. This can increase energy costs and decrease the lifespan of your unit. </p> <p>Checking the accuracy of your thermostat is simple to do. You can place a small thermometer next to it and see if the readings match. If the thermostat is off by more than a few degrees, it might need recalibrating, which can often be managed through the thermostat’s settings menu.</p> <h3><strong>Step #4 - Seal Gaps in Window and Door Frames</strong></h3> <p>Keeping your home cool is not only about the AC unit itself but also about maintaining an efficient environment. Drafts and leaks around windows and doors can let cool air escape, forcing your system to work much harder than necessary. </p> <p>Addressing these can lead to immediate improvements in your home’s comfort and energy use. Reducing the load on your unit can also help with its longevity.</p> <p>Inspect windows and doors for visible gaps or drafts. Weatherstripping or caulking can often seal these gaps effectively.</p> <h3><strong>Step #5 - Schedule Routine Professional Maintenance Annually</strong></h3> <p>Even with regular DIY checks, there are some aspects of AC maintenance that are best handled by professionals. Annual maintenance visits from a certified HVAC technician can diagnose issues that aren’t always obvious, like checking refrigerant levels and cleaning internal components.</p> <p>Scheduling a maintenance appointment with a <a href="https://www.mtnvalleyplumbing.com/loveland-cooling-ac-repair">Loveland air conditioning repair</a> professional helps prevent costly repairs down the road. An HVAC professional will also ensure your system is operating at peak efficiency and can offer tips for continuous performance. They can even help you assess whether you can stick with this unit for a few more years or if an upgrade would be more cost-effective.</p> <p> </p>
Analysis of Smooth Pursuit Eye Movements in Clinical Context by Tracking the Target and Eyes
<p>Eyemove dataset obtained at Teikyo University.</p> <p>If you use the dataset, please state clearly that you have used our data.</p> <p>The mp4 files are the video of the examination.<br> Excel files are the position of the optic disc analyzed by SSD and the ocular position data analyzed by VOG.</p>
Heterogeneous cavitation from atomically smooth liquid-liquid interfaces
<p>Original research data on "Heterogeneous cavitation from atomically smooth liquid-liquid interfaces"</p> <p> </p> <p>Magnetic beads: diameter 4.5 µm<br> Framerate 5x10^6 fps<br> scale: 1px = 1.45 µm</p> <p>PFOB: 1-Bromoheptadecafluorooctane<br> Framerate 5x10^6 fps<br> scale: 1px = 1.60 µm</p> <p>4H-PFOB: 1H,1H,2H,2H-Perfluorooctyl bromide<br> Framerate 5x10^6 fps<br> scale: 1px = 1.23 µm</p> <p>"Luminity": Perfluteren 150 µl/ml<br> Framerate 5x10^6 fps<br> scale: 1px = 1.60 µm</p> <p>single_Interface: 4H-PFOB (left;laser impact) and water (right)<br> Framerate 5x10^6 fps<br> scale: 1px = 1.33 µm</p> <p>multi_cav: PFOB droplets<br> Framerate 5x10^6 fps<br> scale: 1px = 1.34 µm</p>
THOR progress presentation 2022: Targeting Smooth Muscle Cells for Atherosclerosis Therapy
<p>This is a recorded talk with head of the THOR project - Jacob Fog Bentzon, where he presents the latest project progress.</p> <p>The talk was given at one of ODIN's (the Open Discovery Innovation Network) Knowledge Sharing Events in May 2022.</p>
Mechanism For Perching On Smooth Surfaces Using Aerial Impacts
<p><strong>For many applications the battery life is the limiting factor for a UAV. Perching on the environment extends the operating time of the drone, which can be useful in applications such as surveillance (temporary security measures) and maintenance, and can provide additional stability for precise manipulation and reparation tasks. However, on smooth surfaces, such as glass or the surface of the blades of a wind-turbine, perching is challenging, as the surface should not be damaged.</strong></p> <p> </p> <p><strong>This video shows an experiment in which a drone perches on a smooth surface. A drone is presented with a manipulator that consists of three beams in a triangle structure, with a vacuum-cup on the end of the middle beam.The drone impacts the environment, which ensures sufficient vacuum in the vacuum-cup and a proper perch. Then the drone can be turned off. After a small period the drone is enabled again and takes off. Note that the procedure is performed by a person using an user-interface, while the drone is controlled with position and orientation controllers. </strong></p> <p><br> <strong>Note that this work is an application based on the knowledge gained from the work “Compliant Aerial Manipulators: Developing the New Generation of Aerial Robotic Workers”. The work has been extended to automate the perch and actively maintain the vacuum-level in the perched state in the work “Autonomous And Sustained Perching On Smooth Surfaces”.</strong></p>
Autonomous And Sustained Perching On Smooth Surfaces
<p><strong>In this video the results are shown of the extended work on aerial perching, which was started in the work “Mechanism For Perching On Smooth Surfaces Using Aerial Impacts”. </strong></p> <p> </p> <p><strong>The experiment in this video shows the capabilities of an automated and self-regulating perching drone. After the user gives the ‘go’ signal, the drone autonomously impacts the surface and slows down the rotors after successfully attaching. The drone measures the pressure in the vacuum-cup using a pressure-sensor. If the vacuum gets below a threshold level, meaning that the vacuum is about to become too low to remain perched, the drone reactivates and actively presses the vacuum-cup to regain the vacuum. A significant force is required to repress the vacuum-cup, which was done using the knowledge gained from the work “Application Of Substantial And Sustained Force To Vertical Surfaces Using A Quadrotor”.</strong></p> <p> </p> <p><strong>Using the approach described above and the integrated sensing capabilities, the drone is capable of safely remaining airborne (mostly perched on a smooth surface) for 45 minutes(!) on a single battery and having the drone turned on only for about 3 minutes.</strong></p>
Fig. 6 in Exploitation status and stock assessment of the smooth clam Callista chione (Linnaeus, 1758) in the northern Alboran Sea (GSA01-W Mediterranean Sea)
Fig. 6: Trajectories from 2002 to 2015 of observed CPUE andCPUE estimated using the ASPIC model.
Input data of the mixed meshes used in: J. Grošelj, M. Kapl, M. Knez, T. Takacs, V. Vitrih, C1-smooth isogeometric spline functions of general degree over planar mixed meshes: The case of two quadratic mesh elements, Applied Mathematics and Computation 460 (2024) 128278; DOI: 10.1016/j.amc.2023.128278
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Data file needed for star cluster setup in Phantom smoothed particle hydrodynamics and magnetohydrodynamics code
<p>** this file is automatically downloaded by Phantom when running the starcluster setup **</p> <p>This is a small ascii file containing positions and velocities of stars utilised in the "starcluster" configuration in the Phantom smoothed particle hydrodynamics and magnetohydrodynamics code (<a href="http://adsabs.harvard.edu/abs/2018PASA...35...31P">Price et al. 2018</a>). It is used to set up a collection of N-body particles.</p> <p>The star cluster setup (and the data file) were written by Yann Bernard as part of his PhD thesis at<strong> </strong>Université Grenoble Alpes. The datafile is published here so it can be used in the automated code testing via github actions. </p> <p>The columns are mass, position (x,y,z) and velocity (vx,vy,vz) for all of the stars in the simulation</p>
Binary data file used for analysis_common_envelope unit testing in the Phantom smoothed particle hydrodynamics and magnetohydrodynamics code
<p>** this file is automatically downloaded as part of the Phantom github actions tests **</p> <p>This is an example snapshot from a Phantom simulation of a common envelope interaction, taken from the paper by <a href="https://ui.adsabs.harvard.edu/abs/2022MNRAS.517.3181G">González-Bolívar et al. (2022)</a>. It is posted here primarily in order to perform unit and regression testing on the <a href="https://github.com/danieljprice/phantom/blob/master/src/utils/analysis_common_envelope.f90">analysis_common_envelope</a> module in the Phantom smoothed particle hydrodynamics and magnetohydrodynamics code (<a href="http://adsabs.harvard.edu/abs/2018PASA...35...31P">Price et al. 2018</a>).</p>
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.