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28 results for “test track”
The SPOTS Models: A Grid of Theoretical Stellar Evolution Tracks and Isochrones For Testing The Effects of Starspots on Structure and Colors
<p><strong>The SPOTS Models: A Grid of Theoretical Stellar Evolution Tracks and Isochrones For Testing The Effects of Starspots on Structure and Colors</strong></p> <p>This repository contains the Stellar Parameters of Tracks with Starspots (SPOTS) grid of theoretical stellar evolutionary tracks and isochrones, presented in Somers, Pinsonneault, and Cao (2020, in prep). Our models were calculated with the Yale Rotating Evolution Code (e.g. van Saders & Pinsonneault, 2013, ApJ 776, 67), including updated which incorporate a treatment of surface starspots (Somers & Pinsonneault, 2015, ApJ 807, 174S). Modelling details can be found in these references. The purpose of this evolutionary suite is to provide the community with state-of-the-art predictions for the influence of starspots and magnetic activity on the structure of stars.</p> <p>The grid includes both isochrones and tracks. They can be downloaded individually from this repository, or in bulk by downloading the .zip files.</p> <p><strong>Isochrones (.isoc):</strong></p> <p>Each isochrone file contains a series of isochrones (stellar properties for a range of masses at fixed age) for ages between 1 Myrs and 4 Gyrs. Each file contains these isochrones for a different surface starspot covering fraction, given by the name of the file -- f000.isoc = 0% covering fraction, f017.isoc = 17% covering fraction, etc. Each isochrone contains several columns with different information, including,</p> <ol> <li>Fundamental properties: mass, age, luminosity, radius, logg, Teff, convective overturn timescale (TauCZ), lithium abundance relative to initial (Li/Li0).</li> <li>Starspot properties: Covering fraction (Fspot), ratio of spot temperature to ambient temperature (Xspot), the temperatures of hot and cool regions (T_hot, T_cool).</li> <li>Two-temperature colors, including Johnson BV, Cousins RI, 2MASS JHK, WISE W1, and Gaia G, BP, RP.</li> </ol> <p>Colors that fell outside of the calibrated range are listed as -99.0.</p> <p><strong>Tracks (.track):</strong></p> <p>We also include individual tracks for every combination of Fspot and Mass considered in the paper. Each .track file lists the mass and starspot covering fraction in the filename -- i.e. m055_f034.track is the model of mass 0.55Msun and with a 34% surface covering fraction. In addition to all the properties included in the isochrones, the track files also include:</p> <ol> <li>The total moment of interia of the model (total_I) and the moment of interia of the surface convection zone (CZ_I)</li> <li>The central and surface hydrogen abundances (X_cen, X_surf) and the surface metallicity (Z/X_surf)</li> <li>The deuterium abundance relative to initial (H2/H2_0)</li> </ol>
Ptychographic X-ray speckle tracking (PXST) scan of the Siemens star test sample
<p>The PXST scan of the Siemens star test sample measured at P11 beamtime of the PETRA III synchrotron radiation facility. The beam was focused with a pair of MLLs with focal lengths of 1.25 mm and 1.15 mm and numerical apertures of 0.014 and 0.015, in the vertical and horizontal directions, respectively. The X-ray beam photon energy was 17.5 keV.</p>
Tracks for Egyptian fruit bats included in the field manipulation for testing the use of the communal roost as an information center hypothesis
<p>According to the Information Centre Hypothesis (ICH), colonial species use social information in roosts to locate ephemeral resources. Validating the ICH necessitates showing that uninformed individuals follow informed ones to the new resource. However, the following behavior may not be essential when not all resources are ephemeral. For instance, Egyptian fruit bats forage on spatially predictable trees, but some bear fruit at unpredictable times. These circumstances suggest an alternative ICH pathway in which bats learn when fruits emerge from social cues in the roost but then use spatial memory to locate them without following conspecifics. Here, using a unique field manipulation and high-frequency tracking data, we test for this alternative pathway: We introduced bats smeared with the fruit odor of the unpredictably fruiting <em>Ficus sycomorus </em>trees to the roost, when they bore no fruits, and then tracked the movement of conspecifics exposed to the manipulated social cue. As predicted, bats visited the <em>F. sycomorus</em> trees with significantly higher probabilities than during routine foraging trips (of >200 bats). Our results show how the integration of spatial memory and social cues leads to efficient resource tracking and highlight the value of using large movement datasets and field experiments in behavioral ecology.</p>
Experimental Evaluation of SA-MPC on the Precision Test Track
<p>This video presents the experimental evaluation of SA-MPC on the precision test track at Scania’s test track facilities located in Södertälje, Sweden, south of Stockholm.</p>
Experimental Evaluation of SA-MPC on the High-Speed Test Track
<p>This video presents the experimental evaluation of SA-MPC on the high-speed test track at Scania’s test track facilities located in Södertälje, Sweden, south of Stockholm.</p>
Asphalt profile temperatures and weather data of CyPaTs test track
<p>This dataset includes asphalt temperature measurements and weather data of CyPaTs test track located at Campus Groenenborger, University of Antwerp, Antwerp, Belgium. The recorded asphalt temperature measurements and weather data is between March 17<sup>th</sup>, 2021, and March 14<sup>th</sup>, 2022. There are five sheets in each excel file, containing asphalt temperatures at various depths (near-surface, 4cm, 7cm and 10 below asphalt surface), and corresponding weather data. The total number of data points is 371707, with each of these data points including information on weather parameters and 45 sensors embedded in different layers of the asphalt pavement.</p> <ol> <li>Date (time): time of the recorded data</li> <li>TC_x-x: label of the temperature sensor embedded in asphalt pavement, in °C</li> <li>Ta: ambient air temperature, in °C</li> <li>RH: relative humidity, in %</li> <li>FF: wind speed, in m/s</li> <li>SR: solar radiation, in W/m<sup>2</sup></li> </ol>
Tracks for Egyptian fruit bats included in the field manipulation for testing the use of the communal roost as an information center hypothesis
Open the record for dataset details and reuse information.
Trojan Detection Challenge - Analysis Track (Trigger Synthesis) Test Set
<p>This contains the test set for the trigger synthesis track of the Trojan Detection Challenge NeurIPS 2022 competition. To learn more, please see the <a href="http://trojandetection.ai/">competition website</a>.</p> <p>This is identical to the "test" folder in the full trigger synthesis track Zenodo record, which can be found <a href="https://zenodo.org/record/7213751">here</a>.</p>
Trojan Detection Challenge - Evasive Trojans Track Test Set
<p>This contains the test set for the evasive trojans track of the Trojan Detection Challenge NeurIPS 2022 competition. To learn more, please see the <a href="http://trojandetection.ai/">competition website</a>.</p> <p>This is identical to the "test" folder in the full evasive trojans track Zenodo record, which can be found <a href="https://zenodo.org/record/7213753">here</a>.</p>
Trojan Detection Challenge - Detection Track Test Set
<p>This contains the test set for the detection track of the Trojan Detection Challenge NeurIPS 2022 competition. To learn more, please see the <a href="http://trojandetection.ai/">competition website</a>.</p> <p>This is identical to the "test" folder in the full detection track Zenodo record, which can be found <a href="https://zenodo.org/record/7213750">here</a>.</p>
Trojan Detection Challenge - Analysis Track (Target Label Prediction) Test Set
<p>This contains the test set for the target label prediction track of the Trojan Detection Challenge NeurIPS 2022 competition. To learn more, please see the <a href="http://trojandetection.ai/">competition website</a>.</p> <p>This is identical to the "test" folder in the full target label prediction track Zenodo record, which can be found <a href="https://zenodo.org/record/7213751">here</a>.</p>
SVDD Challenge 2024: A Singing Voice Deepfake Detection Challenge (CtrSVDD Track, Test Set)
<p>For more information about SVDD Challenge 2024, please refer to https://challenge.singfake.org/.<br><br>We have released the test set here.</p> <p>The training and development set is at https://zenodo.org/records/10467648.</p> <p>The Interspeech paper that describes the dataset details and baseline analysis is https://arxiv.org/abs/2406.02438.</p>
test images dataset for ear tracking example
<p>Test images for ear tracking example, including parameters about these images</p>
SC-Track(test upload)
<p>SC-Track upload test</p>
Fast-track Blood Test for Suspected Fever by Deficiency of a Kind of White Blood Cells As Main Defense Against Infection
ClinicalTrials.gov study NCT05393505. IPD Sharing: NO. Countries: 1. Publications: 22.
Five Year Study to Track Use of DecisionDX-Melanoma Test in Patients With Cutaneous Melanoma and Associated Patient Outcomes
ClinicalTrials.gov study NCT02355587. IPD Sharing: NO. Countries: 1. Publications: 2.
Intraoperative Dobutamine Stress Test With Speckle Tracking to Decrease Postoperative Mortality (ISTMO)
ClinicalTrials.gov study NCT03365726. IPD Sharing: NO. Countries: 1. Publications: 17.
Determining the Impact of Scaling up Mass Testing, Treatment and Tracking on Malaria Prevalence in Ghana
ClinicalTrials.gov study NCT04301531. IPD Sharing: NO. Countries: 1. Publications: 14.
Impact of Scaling up Mass Testing, Treatment and Tracking on Malaria Prevalence Among Children
ClinicalTrials.gov study NCT04167566. IPD Sharing: YES. Countries: 1. Publications: 17.
Testing the Efficacy of an Eye-tracking-based Treatment in Reducing Stress-related Symptoms in Veterans With PTSD
ClinicalTrials.gov study NCT05243459. IPD Sharing: NO. Countries: 1. Publications: 1.
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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.