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1,509 results for “Calibrations”
Calibration of Absorbing Boundary Layers for Geoacoustic Wave Modeling in Pseudo-Spectral Time-Domain Methods
<p>Mesh.zip contains three folders each of them having seven meshes for each ABL. These data are required for reproducing TEST 3 which can be downloaded from https://github.com/carlosSpa/PSTD_ABL.git</p>
TRACE-Omicron: Epidemiological Counterfactuals; Best Calibration Fit
<p>This repository contains the simulation data corresponding to the Epidemiological Counterfactuals under the Best Calibration Fit baseline scenario in "TRACE-Omicron: Policy Counterfactuals to Inform Mitigation of COVID-19 Spread in the United States" published in Advanced Theory and Simulations (doi:10.1002/adts.202300147)</p>
Setup of a 3D printed wind tunnel: application for calibrating bi-directional velocity probes used in Fire Engineering Applications
<p>The research presented here focuses on the development of a 3D printed wind tunnel and the relevant equipment to be used for calibrating bi-directional velocity probes (BDVP). BDVP are equipment to be used for measuring velocity flow by determining the pressure difference of hot gases generated during fires. The manufactured probes require calibration to determine the calibration factor to achieve precise measurement. The calibration is usually performed in wind tunnels which can be difficult to access due to costs, complexity and the various pieces of equipment required. The aim of the current study is to develop and assemble an inexpensive and easy-to-build bench-scale wind tunnel, with a data-logging system and fan control functionalities for fast and effective calibration of BDVP. A 3D printer with a PET-G filament is used, able to produce parts for the wind tunnel system which are durable and easy to handle and assemble. The system additionally includes an Arduino-based measuring unit with a hot-wire anemometer and temperature correction: Rev. P. This takes precise measurements; continuously logging data on a computer through a USB interface and capable of saving data on an SD card. This design provides users with parameters of velocity flow up to 4 m/s with standard deviation of 1.2 % and turbulence intensity of 1 %. The main advantages of this wind tunnel are its simplicity to build and portability.</p> <p>The dataset contains design files for 3D printing of the wind tunnel, BOM and wiring of electronic components.</p> <p>The project is prototype under development and authors are not responsible for any damages or injuries caused by inappropriate construction or operation. This source is distributed WITHOUT ANY EXPRESS OR IMPLIED WARRANTY, INCLUDING OF MERCHANTABILITY, SATISFACTORY QUALITY AND FITNESS FOR A PARTICULAR PURPOSE.</p>
Human STING is a proton channel (Live-cell pH Calibration Meaurements)
<p>hTERT-immortalized BJ1 cells (ATCC CRL-2522) were transduced with lentiviral ratiometric reporters targeted to GALT constructed based on designs reported in Linders et al. <em>ACS Chem. Biol. </em>2022, with superecliptic pHluorin and mRuby3. Transduced cells were sorted based on mRuby3 expression using a Sony MA900 sorter. BJ1 SEP-mRuby3 cells were plated in 24-well glass-bottom plates (Greiner Bio-One) at 40,000 cells/well. After 48 hours, cells were stained for 45 minutes at 37°C with 0.5 µg/ml Hoechst 34580 (Thermo Fisher Scientific, cat. #H21486). Cells were then washed and incubated in Fluorobrite DMEM (Thermo Fisher Scientific, cat. #A1896701) medium supplemented with 10% FBS, 1% Pen-strep, and 1x GlutaMAX (Thermo Fisher Scientific, cat. #35050061). For pH calibration experiments, cells were treated with buffers at defined pH values supplemented with nigericin and valinomycin following manufacturer’s instructions (Thermo Fisher Scientific cat. # P35379). Additional buffers at pH 7, 6, and 5 were created by titration with acid. All images were acquired using a Ti2-E inverted epifluorescence microscope (Nikon) with automated XYZ stage control, hardware autofocus, and a Yokogawa CSU-W1 confocal spinning disk unit with Zyla 4.2 PLUS sCMOS camera. An Okolab cage incubator was set to 37°C with 5% CO2. 405, 488, 561, and 640 nm laser lines were used for fluorescence illumination and all hardware was controlled using NIS elements software. Images were acquired using a 40X 0.95 NA CFI Plan Apo λ objective (Nikon MRD70470) with the following lasers and filters: Hoechst (405 nm laser, Chroma Multi LED set #89401), superecliptic pHluorin (488 nm laser, Chroma Multi LED set #89401), and mRuby3 (561 nm laser, Chroma Multi LED set #89401), assaying three z planes per field of view with 1.25 µm spacing. Fields of view were selected using NIS Elements software coordinates without manual preselection.</p> <p>Images are maximum projections of multiple z-stacks with each frame representing one pH value: 7.5, 7, 6.5, 6, 5.5, 5, and 4.5 (except for replicate 1, which omitted pH 7). Channels are: Hoechst 34580, SEP (super-ecliptic GFP), mRuby3, and SEP/mRuby3 (ratio). Crops indicate cropped fields of view presented in the manuscript.</p>
Calibration dataset for PSO scheme
<p>The PSO scheme is a practical parametric scheme for estimating benthic oxygen fluxes by overlying water temperature, average velocity and dissolved oxygen concentration, including the empirical hydrodynamic parameter and the empirical permeability parameter. This dataset provides support for the determination of these two empirical parameters.</p>
A calibration point for stellar evolution from massive star asteroseismology: supplementary dataset
<p>Dataset related to the article "A calibration point for stellar evolution from massive star asteroseismology" by Burssens et al. 2022 published in Nature Astronomy on the 22nd of June 2023. </p> <p>This dataset contains:</p> <p>1) The frequency list derived from the cycle 2 TESS data set of HD192575 in machine-readable format. Units are provided in the article. </p> <p>2) The MESA/GYRE inlists needed to reproduce models and figures. </p> <p>See the article for more detailed information.</p> <p> </p> <p> </p> <p> </p> <div> </div>
Trajectory Based RFI Subtraction and Calibration for Radio Interferometry
<p>Data and python notebooks for creating all the figures and tables in the paper.</p>
Leveraging IoT Data Stream for Near-Real-Time Calibration of City-Scale Microscopic Traffic Simulation
<p>This repository includes input and output data of the methodology presented in the <a href="https://arxiv.org/abs/2210.17315">paper</a> for generating a calibrated dynamic microscopic traffic simulation.</p> <ul> <li>The input data includes the network, initial normalized origin-destination matrix, and hourly traffic counts from stationary city sensors.</li> <li>The output is a 24-hour calibrated microscopic traffic simulation for the city of Tartu, Estonia.</li> </ul> <p>All source codes are available at <a href="https://github.com/Khoshkhah/NRTCalib">https://github.com/Khoshkhah/NRTCalib</a>.<br> </p>
Calibration Dataset - HPOSS: A hierarchical portfolio optimization stacking strategy to reduce the generalization error of ensembles of models
<p>Calibration dataset for the study case presented in the paper "HPOSS: A hierarchical portfolio optimization stacking strategy<br> to reduce the generalization error of ensembles of models".</p> <p>It encompasses a .h5 file with a dataset called "Calibrations_LHS", which consists of a 80x5 numpy array of float numbers corresponding to (d1(m),d2(m),d3(m),d4(m),zeta_max(Pa)), where d_i, i = 1,...,4 are dimensions (in meters) of the I-beam and zeta_max is the maximum bending stress (in Pascals) developed in a simply such supported beam with 1 m of length after a point load of 1000N is applied at its center.</p>
Dataset for "Calibration of CAMS PM2.5 data over Hungary: A machine learning approach"
<p>This study utilized air quality information from eleven particular checking locales arranged all through Hungary. The informational index contains in-situ estimations of particulate matter with a width of 2.5 micrometers or less (PM2.5). Moreover, the dataset incorporates matching PM2.5 gauges from the Copernicus Climate Checking Administration (CAMS) model, which makes it a valuable asset for correlation and adjustment. The dataset incorporates various seasons, considering an exhaustive assessment of PM tainting under different climatic circumstances.</p>
Candidate High-Resolution Mass Spectrometry-Based Reference Method for the Quantification of Procalcitonin in Human Serum Using a Characterized Recombinant Protein as a Primary Calibrator
<p>Dataset related to Huu-Hien Huynh, Vincent Delatour, Maxence Derbez-Morin, Qinde Liu, Amandine Boeuf, and Joëlle Vinh, (2022) Candidate High-Resolution Mass Spectrometry-Based Reference Method for the Quantification of Procalcitonin in Human Serum Using a Characterized Recombinant Protein as a Primary Calibrator. Anal. Chem. 2022, 94, 10, 4146–4154.</p>
Water content data for calibration of online measurements
<p>Data for water content of test samples of wood chips. The data have been used for calibration at a CHP plant to allow of online measurements. The data are used for "Calibration techniques for Water Content Measurements in Solid Biofuels" (in prep.)</p> <p>www.biofmet.eu</p> <p> </p>
Astrometric Calibration and Performance of the Dark Energy Spectroscopic Instrument Focal Plane
<p>Supplementary material to DESI's publication Astrometric Calibration and Performance of the Dark Energy Spectroscopic Instrument Focal Plane.</p> <p>Figure 6: Astrometric trends<br> trend.dat</p> <p>Figure 7: Deformation residuals<br> gfa-south-west.dat</p> <p>Figure 10: Turbulence<br> e2c.dat<br> b2c.dat</p> <p>Figure 11: Turbulence Corrected<br> turbcorr.dat</p> <p>Figure 13: Quiver residuals<br> quiver-R.dat</p> <p>Figure 14: Dither offsets<br> dither20220518-R.dat</p> <p>Figure 15: Chromatic residuals<br> chromatic.dat</p> <p>Figure 16: Temperature dependence<br> tempscale.dat<br> </p>
Data used in article "Self-calibration of UAV Thermal Imagery Using Gradient Descent"
<p>This repository contains data allowing for reproduction of research described in article "Self-calibration of UAV Thermal Imagery Using Gradient Descent".</p> <p>Each zip archive available in repository contains:</p> <ul> <li>Thermal images produced using Zenmuse H20T camera (rjpg directory)</li> <li>Geojson vector shape of river centerline (centerline.json file)</li> <li>Configuration file used by Python implementation available at https://github.com/radekszostak/aerial-thermal-tuner (config.py file)</li> </ul> <p> </p>
Data set: IEC 60270 Calibration Uncertainty in Gas-Insulated Substations
<p>Data set for the publication named: IEC 60270 Calibration Uncertainty in Gas-Insulated Substations.</p>
Dataset: Magnetic and electric antennas calibration for partial discharge charge estimation in gas-insulated substations
<p>Data set for the publication named: Magnetic and electric antennas calibration for partial discharge charge estimation in gas-insulated substations</p>
SF Bay Area Coda Calibration Example Dataset for CCT
<p>The following is an example dataset specific for the Coda Calibration Tool (CCT) that is focused on the San Francisco Bay Area region using a small-to-moderate magnitude earthquake dataset spanning local-to-regional distances using open data from the UC Berkeley Seismological Laboratory (BSL): https://github.com/LLNL/coda-calibration-tool/releases/</p><p>The CCT tool description can be found here: https://software.llnl.gov/coda-calibration-tool/</p><p>(updated Oct. 18, 2023)</p>
Calibration of a pedestrian ingress model based on CCTV surveillance data using machine learning methods: data and code
<p>The package includes a dataset of trajectories obtained from a real-time pedestrian traffic detector at the vaccination centre and the code needed to validate the analyses described in the paper entitled Calibration of a pedestrian ingress model based on CCTV surveillance data using machine learning methods. Version 1.0.1 is a patch that corrects path to data.</p>
Le calibre en carton
Le calibre en carton ou gabarit coupé lors de l'étape du calibrage, permet de s'assurer de la correspondance de dimension de la pièce en verre avec le dessin global du vitrail reporté sur le carton à l'échelle 1:1. Ce dernier constitue un repère constant tout au long de la fabrication du vitrail. Il comporte comme indication le numéro de l'emplacement de la pièce dans le vitrail et sa couleur. Source: Objaverse 1.0 / Sketchfab
Florbetapir Calibration to the Centiloid Scale
ClinicalTrials.gov study NCT02120664. IPD Sharing: Not stated. Countries: 2. Publications: 1.
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.