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455 results for “microwave”
Enhancement of microwave absorption bandwidth of MXene nanocomposites through macroscopic design
<p><span>MXene, the new family of 2D materials having numerous nanoscale layers, is being considered as a novel microwave absorption material. However, MXene/functionalized MXene loaded polymer nanocomposites exhibit narrow reflection loss (RL) bandwidth (RL ≤ -10 dB). In order to enhance the microwave absorption bandwidth of <span>MXene hybrid-matrix materials</span>, for the first time, macroscopic design approach is carried out for TiO<sub>2</sub>-Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> MXene and Fe<sub>3</sub>O<sub>4</sub>@TiO<sub>2</sub>-Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> MXene hybrids through simulation. The simulated results indicate that use of pyramidal meta structure of MXene can significantly tune the RL bandwidth. For optimized <span>MXene hybrid-matrix materials</span> pyramid pattern, the bandwidth enhances to 3-18 GHz. Experimental RL value well matched with the simulated RL. On the other hand, for optimized Fe<sub>3</sub>O<sub>4</sub>@TiO<sub>2</sub>-Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> hybrid exhibits two specific absorption bandwidths viz. 3-18 GHz (minimum RL value - 47 dB). Compared to other 2D nanocomposites such as graphene or Fe<sub>3</sub>O<sub>4</sub>-graphene, <span>MXene hybrid-matrix materials</span> shows better microwave absorption bandwidth in macroscopic pattern. </span></p>
Data from: Passive microwave observations of inundation area and the area/stage relation in the Amazon River floodplain
Inundation patterns in Amazon River floodplains are revealed by analysis of the 37 GHz polarization difference observed by the Scanning Multichannel Microwave Radiometer on the Nimbus-7 satellite. Flooded area is estimated at monthly intervals for January 1979 through August 1987 using mixing models that account for the major landscape units with distinctive microwave emission characteristics. Results are presented separately for 12 longitudinal reaches along the Amazon River main stem in Brazil as well as for three major tributaries (the Jurua, Purus and Madeira rivers). The total area along the Amazon River main stem that was flooded (including both floodplain and open water) varied between 19000 and 91 000km2. The correlation between flooded area and river stage is used to develop a predictive relationship and reconstruct regional inundation patterns in the floodplain of the Amazon River main stem over the past 94 years of stage records (1903-1996). The mean flooded area along the Amazon River during this 94-year period was 46800km2, of which the openwater surfaces of river channels and floodplain lakes comprised about 20 700km2.
Data and code for figures in "Nonreciprocal reconfigurable microwave optomechanical circuit"
<p>Data and code used to produce the figures in "Nonreciprocal reconfigurable microwave optomechanical circuit".</p> <p>The code is tested with Python 2.7.10, Matplotlib 2.0.0b4, Scipy 0.18.0, Numpy 1.12.0 and COMSOL multiphysics 5.2.</p>
Code and data for "An integrated microwave neural network for broadband computation and communication"
<div> <div> </div> </div> <div> <div> <div> <div> <div> <div> <p>This repository contains code and data used in the presentation of results in the article "An integrated microwave neural network for broadband computation and communication". The contents of the zipped files are:</p> <ul> <li><strong>Spectrum Analyzer Outputs (Datasets and ML scripts for digital emulation, radar and signal encoding classification.zip)</strong>: Reduced-bandwidth outputs used to train the backend for results presented in Figs. 3 and 4 and Supplementary Fig. 3.</li> <li><strong>Simulation Code (Coupled mode simulation of integrated MNN.zip) </strong>: For modeling the coupled MNN system shown in Fig. 2 and Extended Figs. 4 and 5.</li> <li><strong>Radar Signal Simulation (Training data and code for simulating dynamic targets in simulated airspace.zip)</strong>: Code to simulate received baseband signals from radar targets.</li> </ul> <p>Each folder contains readme files on how to run the code and analyze data.</p> <p>Please install a recent Python release (https://www.python.org/downloads/) and a recent release of MATLAB (https://www.mathworks.com/help/install/) to run the code. No non-standard hardware is required. </p> </div> </div> </div> </div> </div> </div>
Data for "Annealing Reduces Si3N4 Microwave-Frequency Dielectric Loss in Superconducting Resonators"
<p>This directory contains the datasets and code for processing and generating the figures in the research article "Annealing Reduces Si3N4 Microwave-Frequency Dielectric Loss in Superconducting Resonators."</p> <p>This work was supported by funding from ARO Grant W911NF2310376, NSF Grant No. PHY-2317149, NSF QLCI Award OMA - 2016244, the Office of the Secretary of Defense via the Vannevar Bush Faculty Fellowship, award No. N00014-20-1-2833, and the Baur-SPIE Endowed Chair at JILA.</p>
Observation Database for Exploring the footprint representation of microwave radiance observations in an Arctic limited-area data assimilation system
<p>Basic matplotlib visualization for observational databases.<br>Archive files, readme, and visualisation script are attached.</p> <p>The python script visualizes the statistics related to observation <br>minus background departures for AMSU-A and MHS sensors using<br>the default and footprint observation operators in the AROME-Arctic data assimilation system.</p> <p>The corresponding preprint:<br>gmd-2023-195 | Submitted 02 Oct 2023 | Development and technical paper<br>Exploring the footprint representation of microwave radiance observations in an Arctic limited-area data assimilation system<br>Máté Mile, Stephanie Guedj, and Roger Randriamampianina </p>
Arctic Sea Ice Type Products Based on Active and Passive Microwave Remote Sensing (2002-2021)
<p>Based on FY-3 MWRI and other microwave radiometer and scatterometer data, this dataset explores the distribution of Arctic sea ice types from 2002 to 2021 using the K-means clustering method. Spatial and temporal resolutions are 12.5 km and 1 day, respectively. The dataset is of integer type, where 0 represents open water, 1 represents first-year ice, 2 represents multi-year ice, 3 represents land, and 4 represents data gaps. The data is stored in .tiff format.</p>
Data underlying the article: "Programmable multifunctional integrated microwave photonic circuit on thin-film lithium niobate"
<p>Experimental data and scripts to plot results for manuscript "Programmable multifunctional integrated microwave photonic circuit on thin-film lithium niobate"</p>
Datasets and relevant code in the Manuscript "Estimation of fire counts and fire radiative power using satellite optical and microwave vegetation indices with random forest method"
<p>1. multiyears_season_fire_ndvi_fwi_edvi_0.25.mat<br>Multiyear averages of ln (FC), ln (FRP), DMC, ISI, EDVI10-18, EDVI18-36, and NDVI over East Asia in 2003–2010</p> <p>2. RF_edvi_data.mat<br>Estimated FC and FRP based on RF model with EDVIs and NDVI </p> <p>3.RF_fwis_data.mat<br>Estimated FC and FRP based on RF model without EDVIs and NDVI </p> <p>4. temporal_variations.mat<br>East Asia Regional Time Series Dataset</p> <p>5.rf_train_cv_forest_review.py<br>Random forest model python code</p>
Data for Rapid microwave-assisted hydrothermal in situ synthesis of nano-ZnS/kaolinite nanocomposite: a non-toxic photocatalyst active under UV and sunlight
Open the record for dataset details and reuse information.
Single-scattering properties of ice particles in the microwave regime: Temperature effect on the ice refractive index with implications in remote sensing
<p>This database is from the paper: Ding, J., L. Bi, P. Yang, G. W. Kattawar, F. Weng, Q. Liu, and T. Greenwald, 2017: Single-scattering properties of ice particles in the microwave regime: temperature effect on the ice refractive index with implications in remote sensing, Journal of Quantitative Spectroscopy & Radiative Transfer, 190, 26-37. DOI: 10.1016/j.jqsrt.2016.11.026.</p>
Data and Code for "Phase-dependent microwave response of a graphene Josephson junction"
<p>This data set contains the measurement data and its metadata of the publication "Phase-dependent microwave response of a graphene Josephson junction". Additionally, the MatLab scripts for raw data processing are provided.</p>
Reproduction package to "Ultra-sensitive THz Microwave Kinetic Inductance Detectors for future space telescopes"
<p>This is a reproduction package to the paper "Ultra-sensitive THz Microwave Kinetic Inductance Detectors for future space telescopes", published in <a href="https://doi.org/10.1051/0004-6361/202243840">Astronomy and Astrophysics, 665, A17 (2022)</a>. It contains the data and code to reproduce the figures in this paper.</p> <p>This version 2 includes minor changes to make figures and code consistent with the published version of the manuscript after review.</p>
Figure data sets for the paper "Coherent optical-microwave interface for manipulation of low-field electronic clock transitions in 171Yb3+:Y2SiO5"
<p>Figure data sets.</p>
Experimental microwave spectroscopic and quantum-chemical investigation of the HCl(H2O)n (n=1-5,7) molecular clusters
<p>In this dataset, experimental microwave rotational spectroscopy data and corresponding theoretical calculations for the HCl(H2O)n (n=1-5,7) clusters are stored. </p>
Enhancing Retrievals of Air–Sea Heat Fluxes from AMSR2 Microwave Observations Based on Deep Learning
<p><span>The primary generated products are </span><span>2m</span><span> air temperature (Ta)</span><span> and</span><span> specific humidity (Qa), as well as the resulting fluxes of sensible heat (SHF)</span><span> and </span><span>latent heat (LHF). The data records for Ta</span><span> </span><span>and Qa are generated from </span><span>sea surface temperature (T</span><span>s</span><span>), column water vapour</span><span> (WV),</span><span> </span><span>wind speed (WS)</span><span>, column cloud liquid water</span><span> (CLW) </span><span>and rain rate</span><span> (RR)</span><span> data from JAXA’s Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the Global Change Observation Mission 1st-Water (GCOM-W1)</span><span> </span><span>spacecraft</span><span>.</span><span> The </span><span>model</span><span> for determining Ta, Qa, and U10 is the Matrices-Points Fusion Network (MPFNet). The resulting SHF</span><span> and</span><span> LHF fluxes are calculated from these fields of Ta, Qa, </span><span>WS</span><span>, and </span><span>Ts</span><span> using the Coupled Ocean-Atmosphere Response Experiment (COARE) 3.</span><span>6</span><span> flux algorithm</span><span>. </span><span>The </span><span>daily </span><span>MPFNet dataset is stored in </span><span>“nc”</span><span> format on 0.25°</span><span> </span><span><span> </span>0.25° gridded maps and span from July 2012 to December 2023.</span></p>
The Impact of Feed-Solvent Ratio on Contella Asiatica Extraction Using Microwave-Assisted Extraction (MAE)
<div>This material has presented on 2nd International Conference on Advance Research in Agriculture and Food 2023 in October 25, 2023.</div>
Data used in the article "Remote sensing of a levitated superconductor with a flux-tunable microwave cavity"
<p>Data from the manuscript, a Python-based script to create PDF figures, and the resulting PDF files for convenience are provided.</p>
Supporting Data for the paper titled"Diurnal Variation of Liquid Water Path Derived from Two Polar-Orbiting FengYun-3 Microwave Radiation Imagers"
<p>The dataset contains:</p> <p>a) 4 files with name indicating collocated satellite, sensor, latitude,longitude and brightness temperature; format</p> <p>b) annual mean liquid water path derived from FY-3B/C Level 1 data; satellite,sensor, region; format</p> <p>c) annual mean amplitude and phase</p> <p>d) four seasons (winter,spring,summer, and autumn) mean amplitude</p> <p>d) 24 files with name indicating sensor, lwp, region, local solar time hour, format</p> <p>All files can be read by using matlab language.</p> <p> </p> <p>The first author was supported by National Natural Science Foundation of China Grant 91337218, and the second author was supported by NOAA grant NA14NES4320003 (Cooperative Institute for Climate and Satellites-CICS) at the University of Maryland/ESSIC.</p> <p>Corresponding author: Xiaolei Zou,xzou1@umd.edu</p>
Data and code for "A ballistic graphene superconducting microwave circuit"
<p>Data and processing for "A ballistic graphene superconducting microwave circuit"</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.