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21 results for “Parameter stability”
HARVIS Non Stabilized Assistant flight simulation parameters
<p>This dataset regroups data from the test of the HARVIS Non Stabilised Approach assistant.<br> The experiment consisted in testing the assistant in realistic conditions in single pilot operations on an A320 research simulator.<br> The validation session with a participant was composed of 6 scenarios. 3 scenarios were played with the assistant support and 3 without it. <br> Pilots were seated in the left seat of the cockpit and were told to land on runway 25 of Paris Orly Airport. The Aircraft was positioned approximately at 7NM before runway threshold. <br> Initial conditions (A/C speed, position, flaps configuration, landing gear state, wind…) varied from one test to another impacting the difficulty of the approach. <br> Pilots were briefed about the meteorological situation on the approach before each test. <br> When ready, the test begun, and pilots had to manually control the A/C in Visual Meteorological Conditions with the objective to stabilize the A/C for landing. <br> The assistant provided alerting in case of diverging parameters and assisted the pilot in the go around decision-making at the stabilization gate (500ft above airport elevation).<br> The participants were told to stabilize the A/C before stabilization point. <br> At stabilization point, participants had to follow assistant’s order unless they thought the order inappropriate.</p> <p>1 file is provided for each test:</p> <p>analysis_flight_parameters_P00X_SX_(No)Harvis.csv<br> Regroups the flight parameters recorded during each test. At each timestamp, each parameter have been analysed to see if there are within limits defined for the assistant.<br> Each file is identified by a participant number "P00X", a scenario number "SX". If the participant was assisted by the assistant, the file is tagged with "Harvis", if not, the file is with "NoHarvis"</p> <p><br> </p>
Data for "High-accuracy determination of Paul-trap stability parameters for electric-quadrupole-shift prediction", J. Appl. Phys. 132, 124401 (2022)
<p>Data required to reproduce the key results in: "High-accuracy determination of Paul-trap stability parameters for electric-quadrupole-shift prediction", J. Appl. Phys. <strong>132</strong>, 124401 (2022). <a href="https://doi.org/10.1063/5.0106633">https://doi.org/10.1063/5.0106633</a></p> <ul> <li>The file "sec_freq.dat" contains measured secular frequencies, the rf frequency, the applied bias voltages, and the MJD of the measurement: <ul> <li>Figures 4-5 use rows 31-33 of this data.</li> <li>Figure 6 uses all data corresponding to -1.1e-3 < <em>a</em><sub>x</sub> < -0.6e-3.</li> <li>Figure 7(a) uses all the data.</li> </ul> </li> <li>The file "data2021-12-21_MJD.txt" contains the secular frequency data used to derive Eq. (16) and plot Figure 8.</li> <li>The file "RF_monitor_rectifier_1d.txt" contains the rectified monitor voltage used in Figure 8.</li> <li>The file "Temperature_108_1d.txt" contains the helical-resonator temperature used in Figure 8.</li> <li>The file "Fig9_EQS.dat" contains the measured electric quadrupole shift (EQS) used for Figure 9.</li> <li>The file "interleavedEQS.dat" contains the data from the interleaved EQS measurement used to determine a lower value of 1070 for the cancellation factor.</li> </ul>
Plot Piper Hidrostratigrafi CAT Bandung-Soreang berdasarkan Parameter Hidrolik, Hidrokimia dan Isotop Stabil
<p>This repository holds Piper plots. The main connected thesis is available here https://zenodo.org/record/2648267#.XMAI6abgpyU</p>
Data: More than 1000 genotypes are required to derive robust relationships between yield, yield stability and physiological parameters: a computational study on wheat crop
<p>APSIM-Wheat <strong>(</strong><a href="">www.apsim.info</a><strong>)</strong> was used to simulate a data set (for details, see Casadebaig<em> et al.</em>, 2016) with 9100 virtual genotypes (<em>N</em><sub>gen</sub>= 9100) grown under 9000 environments (<em>N</em><sub>env</sub>=9000). In short, virtual genotypes were created by varying the value of 90 independent physiological parameters in a range of ±20% from the reference cultivar <em>Hartog</em>. Environments in the dataset contain historical climate data of 125 years (1889-2013) in four locations (Emerald, Narrabri, Yanco and Merredin) in Australia, in combination with two CO<sub><sup>2</sup></sub> levels (380 and 555 ppm), three nitrogen levels (low: 50%, control: 100% and high fertilization: 100% plus 50 kg‧ha<sup>-1</sup>) and three sowing dates (early, control and late).</p>
Stability of neutrino oscillation parameters at low energy scale with the variations of SUSY breaking scale under Renormalisation Group Equations
<pre>We discuss the stability of the neutrino oscillation parameters at low energy scale including self-complementarity (SC) relations among mixing angles under radiative corrections with the variation of SUSY breaking scale ($m_s$) in both normal and inverted hierarchical cases. We observe that the neutrino oscillation parameters including the SC relation maintains stability at the electroweak scale within $1\sigma$ range of the latest global fit data. NH case maintains more stability than IH case. All the numerical values related to the absolute neutrino masses viz., $\Sigma |m_i|$, $m_{\beta}$ and $m_{ \beta \beta}$ are found to lie below the observational upper bound.</pre>
Stability of neutrino oscillation parameters at low energy scale with the variations of SUSY breaking scale under Renormalisation Group Equations
<pre>We discuss the stability of the neutrino oscillation parameters at low energy scale including self-complementarity (SC) relations among mixing angles under radiative corrections with the variation of SUSY breaking scale ($m_s$) in both normal and inverted hierarchical cases. We observe that the neutrino oscillation parameters including the SC relation maintains stability at the electroweak scale within $1\sigma$ range of the latest global fit data. NH case maintains more stability than IH case. All the numerical values related to the absolute neutrino masses viz., $\Sigma |m_i|$, $m_{\beta}$ and $m_{ \beta \beta}$ are found to lie below the observational upper bound.</pre> <pre> </pre> <pre> </pre>
Stability of neutrino oscillation parameters at low energy scale with the variations of SUSY breaking scale under Renormalisation Group Equations
<pre>We discuss the stability of the neutrino oscillation parameters at low energy scale including self-complementarity (SC) relations among mixing angles under radiative corrections with the variation of SUSY breaking scale ($m_s$) in both normal and inverted hierarchical cases. We observe that the neutrino oscillation parameters including the SC relation maintains stability at the electroweak scale within $1\sigma$ range of the latest global fit data. NH case maintains more stability than IH case. All the numerical values related to the absolute neutrino masses viz., $\Sigma |m_i|$, $m_{\beta}$ and $m_{ \beta \beta}$ are found to lie below the observational upper bound.</pre>
United Atom Parameters for United Atom Multiscale Modelling Of Bio-Nano Interactions Of Citrate Trianion Stabilized Nanoparticles
<p>Short-range surface adsorption potentials of carbohydrates, lipid fragments, and amino acid side chains onto Cit(3-) stabilized surfaces (in tabulated form).</p> <p>Recovered from radial distribution functions</p> <p>Force Fields: adapted CHARMM36.</p> <p>Material: CIT(3-)</p>
Fig. 4. The stability parameters for modelled D10 in In silico characterization of the impact of mutation (LEU112PRO) on the structure and function of carotenoid cleavage dioxygenase 8 in Oryza sativa
Fig. 4. The stability parameters for modelled D10 protein: wild-type (Blue), mutant (Green), Complex I (wild-type & auxin complex) (orange), Complex II (wild-type & cytokinin complex) (purple), Complex III (mutant-auxin complex) (red) and (D) Complex IV (mutant-cytokinin complex) (black) throughout 100 ns simulation: (A) RMSD, (B) RMSF, (C) PCA of C-α movement, and (D) Radius of gyration. The trajectory projected to the two-dimensional space. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
The Effect of the Core Stabilization Training on Respiratory Parameters , Functional Capacity and Balance in Scoliosis
ClinicalTrials.gov study NCT03823053. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Investigation of the Effects of Stabilization Exercises and Pelvic Floor Muscle Training on Pain and Urinary Parameters in Individuals With Chronic Low Back Pain With Urinary Incontinence
ClinicalTrials.gov study NCT05666427. IPD Sharing: NO. Countries: 0. Publications: 1.
Intra-individual Stability in Electroencephalography (EEG) Parameters
ClinicalTrials.gov study NCT02254213. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Test-retest Stability of MR-parameters. A Neuroimaging Pilot-study in Healthy Volunteers
ClinicalTrials.gov study NCT01239615. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Core Stability and Respiratory Parameters in Children With Thoracic Hyperkyphosis
ClinicalTrials.gov study NCT06853548. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Clinical Precision and In-use Analyte Stability Study for Four (4) Parameters in Neonate Arterial Blood for PICO70 and SafePICO
ClinicalTrials.gov study NCT06702267. IPD Sharing: YES. Countries: 1. Publications: 0.
Combined Effect of Core Stability and Theraband Resisted Exercises on Gait Parameters in Lower Limb Burn
ClinicalTrials.gov study NCT07017764. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Clinical Precision and In-use Analyte Stability Study for 19 Parameters in Adult Arterial Whole Blood for PICO70 and SafePICO
ClinicalTrials.gov study NCT06823648. IPD Sharing: YES. Countries: 1. Publications: 0.
Compare the Scapular Muscular Endurance, Stabilization and Dyskinesis Parameters of Sedentary Individuals
ClinicalTrials.gov study NCT04296539. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Investigation of the Effects of Proprioceptive Neuromuscular Facilitation Techniques and Core Stabilization Exercises on Physical and Functional Parameters in Adolescents With Idiopathic Scoliosis
ClinicalTrials.gov study NCT06759415. IPD Sharing: NO. Countries: 1. Publications: 0.
Reliability of the Gyko Inertial Sensor System in Evaluating Jumping and Postural Stability Parameters in Healthy Adults
ClinicalTrials.gov study NCT06674083. IPD Sharing: Not stated. Countries: 0. Publications: 0.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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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.