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525 results for “Displace”
Data from: Vibrational Transportation on a Platform Subjected to Sinusoidal Displacement Cycles Employing Dry Friction Control
<p>Data from the paper "Vibrational Transportation on a Platform Subjected to Sinusoidal Displacement Cycles Employing Dry Friction Control", <a href="https://doi.org/10.3390/s21217280">https://doi.org/10.3390/s21217280</a></p> <p>Currently used vibrational transportation methods are usually based on asymmetries of geometric, kinematic, wave, or time types. This paper investigates the vibrational transportation of objects on a platform that is subjected to sinusoidal displacement cycles, employing periodic dynamic dry friction control. This manner of dry friction control creates an asymmetry, which is necessary to move the object. The theoretical investigation on functional capabilities and transportation regimes was carried out using a developed parametric mathematical model, and the control parameters that determine the transportation characteristics such as velocity and direction were defined. To test the functional capabilities of the proposed method, an experimental setup was developed, and experiments were carried out. The results of the presented research indicate that the proposed method ensures smooth control of the transportation velocity in a wide range and allows it to change the direction of motion. Moreover, the proposed method offers other new functional capabilities, such as a capability to move individual objects on the same platform in opposite directions and at different velocities at the same time by imposing different friction control parameters on different regions of the platform or on different objects. In addition, objects can be subjected to translation and rotation at the same time by imposing different friction control parameters on different regions of the platform. The presented research extends the classical theory of vibrational transportation and has a practical value for industries that operate manufacturing systems performing tasks such as handling and transportation, positioning, feeding, sorting, aligning, or assembling.</p>
Artificial displacement alters movement behavior of a terrestrial amphibian
<p>Homing abilities have been widely documented in amphibians, but it remains unclear whether individuals have homing tendencies in the absence of motivational cues related to breeding and site fidelity. We tested whether artificial displacement would affect the movement behavior of a nonphilopatric terrestrial amphibian, the Fowler's Toad (<em><span class="s1">Anaxyrus fowleri</span></em>), within its home range and after its breeding season had ended. We translocated 65 male and female Fowler's Toads from their initial points of capture a total of 104 times over one of three different distances (100 m, 250 m, and 500 m) and compared these toads' subsequent 24-h movements with those of a control group of 43 untranslocated toads. To shield the translocated toads from auditory, visual, and olfactory cues en route, we translocated them in opaque enclosed boxes and performed the experiment in the uniformly unobstructed landscape of the Lake Erie shoreline of Long Point, ON, Canada. We mainly investigated directionality bias as the orientation between control and translocated groups, homing tendency as the correlation between movements after translocation and translocation distance, and homing accuracy as the variation in distance between final and initial capture points. Our results provide clear evidence that translocation changes the movement behavior of these toads and that they possess homing tendencies outside of their breeding season. Toads had a strong directional bias to move in the opposite direction to the one in which they were artificially displaced, in contrast with the control group, which showed no directional bias among 61 recorded 24-h movements. This tendency for amphibians to home after artificial displacement might be a significant confounding factor in any procedure involving their relocation.</p>
USP5 Zf-UBD Purification & Fluorescence Polarization Displacement Assay Development
<p>USP5 zinc-finger ubiquitin binding domain (Zf-UBD) expression and purification from <em>E. coli, </em>and screening conditions for a fluorescence polarization (FP) displacement assay with a FITC-labelled ubiquitin peptide. </p>
Probabilistic Fault Displacement Hazard Assessment materials
<p>The models, data, and information provided here were created as part of the Fault Displacement Hazard Initiative. We provide the Electronic Supplement for Chiou et al., 2023, CDF Fortran subroutines; the ArcGIS least-cost path (LCP) model and implementation guide, LCP MATLAB and Python scripts, and the LCP for 75 events in a shapefile and KMZ format for Thomas et al., 2023; and the Fortran code for Chiou et al. in review for Earthquake Spectra. </p>
Surface Height Displacements and Time-Variable Gravity From Changes in the Seasonal Polar Cap on Mars
<p>This repository is the location at which the data created for Wagner et al. 2024 is located. Info about specific files is included in the README.</p>
PMMA 3 point bending test until failure loaded in displacement
<p>This document present the 3 point bending test results for PMMA. Digital Image Correlation (DIC) was used to measure displacements during the test. Results obtained provide the force-strain plot over time. Such results could be compared with simulation results or used as part of an experimental dataset.<br> Raw results and a complete dataset are provided with this data package.</p>
USP5 Zf-UBD Fluorescence Polarization Displacement Assay Optimization
<p>Optimization of a fluorescence polarization (FP) assay for USP5 zinc finger ubiquitin binding domain (Zf-UBD) with an N-terminal FITC-labeled ubiquitin RLRGG peptide. </p>
Rock-temperature, fracture displacement and acoustic/micro-seismic data measured at Matterhorn Hörnligrat, Switzerland
<p>This repository contains data, which were acquired in the context of project X-Sense2 (financed by nano-tera.ch, ref. no. 530659) at the Matterhorn Hörnligrat fieldsite on 3500 m a.s.l. from 2015 until 1 April 2018. These data were used in the following publication:</p> <p>Weber, S., Faillettaz, J., Meyer, M., Beutel, J., and Vieli, A.: Acoustic and micro-seismic characterization in steep bedrock permafrost on Matterhorn (CH), Journal of Geophysical Research: Earth Surface, 123(6), 1363-1385, doi: 10.1029/2018JF004615, 2018.</p> <p><strong>AM-DATA</strong> This repository contains selected accelerometer data with SI unit m/s<sup>2</sup> (hourly .miniseed-files, MH40 refers to AM<sub>scarp</sub>). These data were measured continuously using an accelerometer based on a Wilcoxon 728A/T (10 − 10000 Hz, 24 kHz resonance frequency), netADC data acquisition system and netSP+ seismological processor of Institute of Mine Seismology. Data were synchronized to a global time reference using GPS (<1 μs). The data is stored in .miniseed-format and splitted in hourly files.</p> <p><strong>SM-DATA</strong> This repository contains selected raw seismometer data in counts (hourly .miniseed-files, MHDL refers to SM<sub>scarp</sub> and MHDT refers to SM<sub>ridge</sub>). These data were measured using a Lennartz electronic low-noise seismometer LE-3Dlite MKIII (1−100 Hz) and Nanometrics Centaur digital recorder, a 24-bit high-resolution seismic data acquisition system disciplined by GPS (<100 μs) with a sampling rate of 1000 sps. The data is stored in .miniseed-format and splitted in hourly files.</p> <p><strong>TIMESERIES</strong> This repository contains 8 timeseries:</p> <ul> <li> <p><em>AS_scarp_high.csv</em> describes the threshold triggeres acoustic emission hits acquired with a piezoelectric sensor Mistras Physical Acoustics Corporation R6α, 35−100 kHz, 55 kHz resonance frequency.</p> </li> <li> <p><em>AS_scarp_low.csv</em> describes the threshold triggeres acoustic emission hits acquired with a piezoelectric sensor Mistras Physical Acoustics Corporation R.45, 5−30 kHz, 20 kHz resonance frequency.</p> </li> <li> <p><em>CR_old.csv</em> described the measured fracture displacement in mm.</p> </li> <li> <p><em>SMridge_nofilter.csv</em> describes automatically triggered events using a recursive short-term/long-term average (STA/LTA ) algorithm without filtering. Peak amplitude in µm/s and energy in µm<sup>2</sup>/s<sup>2</sup>.</p> </li> <li> <p><em>SMridge_filtered.csv</em> describes automatically triggered events using a recursive short-term/long-term average (STA/LTA ) algorithm in the frequency band 33-67 Hz. Peak amplitude in µm/s and energy in µm<sup>2</sup>/s<sup>2</sup>.</p> </li> <li> <p><em>SMscarp_filtered.csv</em> describes automatically triggered events using a recursive short-term/long-term average (STA/LTA ) algorithm without filtering. Peak amplitude in µm/s and energy in µm<sup>2</sup>/s<sup>2</sup>.</p> </li> <li> <p><em>SMscarp_nofilter.csv</em> describes automatically triggered events using a recursive short-term/long-term average (STA/LTA ) algorithm in the frequency band 33-67 Hz. Peak amplitude in µm/s and energy in µm<sup>2</sup>/s<sup>2</sup>.</p> </li> <li> <p><em>temperature.csv</em> describes the rock temperature (in °C) at different depths: 5, 10, 20, 30, 50 and 100 cm.</p> </li> </ul> <p>All time stamps are in UTC.</p>
USP5 Zf-UBD Fluorescence Polarization Displacement Assay #3
<p>Development of a fluorescence polarization (FP) assay for USP5 zinc finger ubiquitin binding domain (Zf-UBD) with different lengths of N-terminal FITC-ubiquitin peptides. </p>
High-rate GNSS displacement waveforms for large earthquakes version 2.0
<p>This dataset accompanies <strong>A Global Database of Strong Motion Displacement GNSS Recordings and an Example Application to PGD Scaling</strong> published in <em>Seismological Research Letters</em> by Ruhl et al. (2018). The data is structured as follows:</p> <p>Once expanded the data within the archive are structured as follows: Inside the archive there is one folder per event clearly labeled with the event names in Table 1 from the main text. Inside each event folder is a text file (EVENT_disp.chan) with station metadata (station codes, coordinates, and gain values), importantly because the waveforms are provided as mini-SEED files with integer values the gain must be applied to convert to physical displacement units. There is a “disp” folder which contains files named using the convention STA.LXE.mseed, STA.LXN.mseed and STA.LXZ.mseed where “STA” is the station code and LXE, LXN, and LXZ are east, north, and up waveforms, respectively. The sampling rate for each waveform is indicated inside the miniSEED header of each waveform as well as in the corresponding metadata channel file. The data are provided in UTC time with leap seconds fully corrected for so no further processing is necessary. There is also a "_plots" folder with a plot of the three-component record section for each event.</p>
Additional data for "In-situ full field out of plane displacement and strain measurements at the micro-scale in single reinforcement composites under transverse load"
<p>The following document is an extension of the <em>In-situ full field out of plane displacement and strain measurements at the micro-scale in single reinforcement composites under transverse load</em> publication. It contains guidelines for the experimental results for the single fiber experiments and bundle of carbon fiber ones. The detailed data from the experiments is provided with this document as <em>CSV </em>files.</p>
Data collection that describes the calibration of the temporal and displacement characteristics of an optical tweezers in buffered saline at room temperature.
<p><strong>Introduction</strong>. This data provides the calibration of an optical tweezers within the linear Hookian region. Once the laser was aligned, the power at the objective measured and a bead trapped the instrument was calibrated. <strong>Data Collection</strong>. Calibration was performed by moving a trapped bead by supplying a periodic square wave train input (amplitude: −800 to +800 nm, period: 80 ms) to an acousto-optical device, AOD and monitoring the trajectory of the bead in the 𝑋𝑌 plane with a quadrant photo diode, QPD for ~ one minute. Data was collected at 200 kHz from three (3) QPD channels: displacement in the 𝑋 (∆𝑋<sub>𝑀</sub>) (i) and 𝑌 directions (∆𝑌<sub>𝑀</sub>) (ii) and the sum of the fluorescent intensity (∑<sub>𝐿</sub>) (iii). Typically, each bead was stimulated with a train of square waves of constant amplitude in the 𝑋 direction. This stimulation was performed four (4) times at each of the different amplitudes i.e., −800, +800, −500, and +500 nm. The QPD signal in the dark, ∆𝑋<sub>𝐷</sub>, ∆𝑌<sub>𝐷</sub>, ∑<sub>𝐷</sub> was recorded and subtracted in real time, and the gain, 𝐺 of the QPD noted. The Stokes-Faxen coefficient, 𝛽 was calculated having recorded the height of the bead above the Petri dish, ℎ and the viscosity, 𝜂 of the saline solution. The detected fluorescent bead was excited either with a Xenon lamp or TLED transmitted light source. Some calibrations were performed with a TLED light that was borrowed from the manufacturer for testing, and the signal to noise of these measurements was significantly decreased.<strong> Data Transformation</strong>. For each of the two (2) channels the measured signal was normalized by the sum, and the ~750 waves were averaged for each pulse train stimulus. The reciprocal of the time constant (s<sup>-1</sup>) was determined from the exponential rise or decay of the back-ground subtracted averaged response. Spring constant (pN/nm) was determined from the product of this reciprocal time constant and the Stokes-Faxen coefficient (pNs/nm). The net displacement of the bead (nm) was calculated by determining the resultant vector of the 𝑋 and 𝑌 components of the QPD (V/V). For the four (4) stimuli determined for each bead the normalized displacement (V/V) was plotted as a function of net bead displacement and the slope (V/V/nm) calculated from best linear fit. For each calibration the mean spring constant, reciprocal time constant, and mean slope are provided. <strong>Data Format</strong>. The data was saved in LabView with the proprietary TDMS format (National Instruments, NI, Austin, TX). It was transformed to a text file and imported into MATLAB (The Mathworks, Natick, MA) and stored as struct and analyzed with a Python script. The collection contains raw and transformed results from 69 days for a total 153 beads. The data is provided with annotated descriptions in HDF5, a standard non-proprietary container storage format. Each file is about 1.1 GBs (HDF5).</p> <p> </p> <p>The package contains:</p> <p>1. Standard Container HDF5 with custom organization format of data with annotations.</p> <p>2. Python Script (calibrateopticaltweezers.py file) that describes how data is analyzed and written to HDF5 and .MAT formats. (1 file)<br> </p>
Real-Time High-Rate GNSS Displacements: Performance Demonstration During the 2019 Ridgecrest, CA Earthquakes
<p>Post-processed and real-time GNSS displacement waveforms for the 2019 Ridgecrest earthquakes. Waveforms are for the M6.4 and M7.1 events recorded at 1 and 5Hz sample rates. Data are in miniSEED format, channel codes LYE, LYN, LYZ correspond to east, north, and up respectively. Displacement units are meters and time is UTC. The data are trimmed 60s before the USGS origin times for<br> the earthquakes. No filtering has been applied.</p> <p>A paper describing the data has been submitted to SRL. In the meantime if you use the data please cite our <a href="https://eartharxiv.org/pdxqw/">preprint on the EarthArXiv</a> as:</p> <p>Melgar, D., TI Melbourne, BW Crowell, J Geng, W Szeliga, C Scrivner, M Santillan, DER Goldberg. 2019. Real-time High-rate GNSS Displacements: Performance Demonstration During the 2019 Ridgecrest, CA Earthquakes. EarthArXiv, doi:10.31223/osf.io/pdxqw.</p>
Annual Earthflow Displacement
<p>Seasonal earthflow displacement (in meters) in the Franciscan mélange from Nereson and Finnegan (2019), who used a physically based model 90 to interpolate between 22 air photos of Oak Ridge earthflow, and Kelsey (1978), who used stakes to directly measure<br> displacement on six earthflows in the Van Duzen River watershed in northern California between 1973 and 1976.</p>
Growth and Purification of Biotinylated USP5 Constructs & Testing ZnF-UBD Ligands in a Displacement Assay
<p>Expression and purification of biotinylated full length (FL) USP5<sup>1-835</sup> and biotinylated zinc finger ubiquitin-binding domain (ZnF-UBD) USP5<sup>171-290 </sup>constructs for the development of a displacement assay. </p>
Micro-power Pulse-Doppler Radar Clutter and Displacement Source Classification Dataset
<p>This is the official dataset for the ACM BuildSys 2019 publication <em>One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification.</em></p> <p>The training code for MSC-RNN can be found at <a href="https://github.com/dhruboroy29/MSCRNN">https://github.com/dhruboroy29/MSCRNN</a></p> <p>Kindly cite this work as:</p> <pre><code>@inproceedings{roy2019one, title={One size does not fit all: Multi-scale, cascaded RNNs for radar classification}, author={Roy, Dhrubojyoti and Srivastava, Sangeeta and Kusupati, Aditya and Jain, Pranshu and Varma, Manik and Arora, Anish}, booktitle={Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation}, pages={1--10}, year={2019} }</code></pre> <p> </p>
Chromatin fiber invasion and nucleosome displacement by the Rap1 transcription factor_Figure5e_2
<p>Raw microscopy movies for smFRET experiments with various chromatin templates for Mivelaz M., et al, 2019 <a href="https://doi.org/10.1016/j.molcel.2019.10.025">https://doi.org/10.1016/j.molcel.2019.10.025</a></p> <p>for Figure 5e (second part)</p> <p>see attached documentation for more details</p>
Chromatin fiber invasion and nucleosome displacement by the Rap1 transcription factor_Figure5f_1
<p>Raw microscopy movies for smFRET experiments with various chromatin templates for Mivelaz M., et al, 2019 <a href="https://doi.org/10.1016/j.molcel.2019.10.025">https://doi.org/10.1016/j.molcel.2019.10.025</a></p> <p>for Figure 5f (first part)</p> <p>see attached documentation for more details</p>
Chromatin fiber invasion and nucleosome displacement by the Rap1 transcription factor_Figure5f_2
<p>Raw microscopy movies for smFRET experiments with various chromatin templates for Mivelaz M., et al, 2019 <a href="https://doi.org/10.1016/j.molcel.2019.10.025">https://doi.org/10.1016/j.molcel.2019.10.025</a></p> <p>for Figure 5f (second part)</p> <p>see attached documentation for more details</p>
Chromatin fiber invasion and nucleosome displacement by the Rap1 transcription factor_FigureS6
<p>Raw microscopy movies for smFRET experiments with various chromatin templates for Mivelaz M., et al, 2019 <a href="https://doi.org/10.1016/j.molcel.2019.10.025">https://doi.org/10.1016/j.molcel.2019.10.025</a></p> <p>for FigureS6</p> <p>see attached documentation for more details</p>
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