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814 results for “radio”
Investigation of two-dimensional radio-frequency sheath properties using a microscale fluid model
<p>In previous work (Kohno H. and Myra J.R. 2023 Comput. Phys. Commun. 291 108841), we developed a numerical scheme based on a two-dimensional microscale radio-frequency (RF) sheath model with periodically curved wall boundaries. Here, we expand the capability of this scheme through modification of the boundary conditions (BCs) on the conducting walls, which allows the ion flow to turn back to the plasma at locations on the walls where the electromagnetic force on the ions is reversed from its usual direction. Numerical simulations are carried out to investigate the dependences of the surface-integrated admittances on the wall bump height, ion magnetization, ion mobility, and the magnetic field angle, and to visualize the sheath structures in several cases. One of the main results is the ion cyclotron admittance resonance observed under the condition of low ion mobility (high normalized frequency). It is shown that the amplitude of the resonance peak depends on the wall bump height and the ion velocity is reversed on the sides of the bump in an RF cycle for the resonance cases. Furthermore, the differences in the admittances between the one- and two-dimensional microscale models are assessed for the purpose of understanding non-locality of the sheath near the wall surface for the parameters considered in this study. This information will be essential for improving the sheath BC for macroscale calculations in the future.</p>
December 2021 raw audio data at 9999 kHz using Grape 1 for radio station JJ1BDX
<p>This dataset contains all audio data (WAV, 8kHz S16_LE monaural) for the analysis of 10MHz standard frequency stations (mostly BPM, including WWVH and WWV) for HamSCI December 2021 Eclipse Festival recorded at radio station JJ1BDX in Setagaya City, Tokyo, Japan. </p> <p>Other references:</p> <ul> <li>See <a href="https://github.com/jj1bdx/hamsci-202112-freqdata">https://github.com/jj1bdx/hamsci-202112-freqdata</a> for the analysis results.</li> <li>See <a href="https://github.com/jj1bdx/dcrx-10MHz-design/">https://github.com/jj1bdx/dcrx-10MHz-design/</a> for the technical specification of the direct conversion receiver HamSCI Grape 1.</li> </ul> <p> </p>
Research Avenues for Amplifying Indigenous Radio
<p>This is supporting data for the article 'Research Avenues for Amplifying Indigenous Radio'.</p>
An empirical model of the dayside Martian ionosphere based on the radio occultation data from MGS, MEX, and MAVEN
<p>This empirical model is developed from the radio occultation data to reconstruct the dayside Martian ionosphere. The observations include the measurements from MGS, MEX, and MAVEN. Based on PCA and optimized regression, this model well reproduces the peak electron density and altitude in observations.</p>
High Cadance Radio Frequency Interference Filters
<p>SQL databases for synthetic and real pulse for the paper "High Cadence Radio Frequency Interference Filters".</p> <p>These databases contain Numpy array and can be read by http://stackoverflow.com/a/31312102/190597<br><br><a href="https://zenodo.org/api/records/6487651/draft/files/injected_pulse.db/content" target="_blank" rel="noopener noreferrer">injected_pulse.db</a> is the database for synthic pulses injected into GREENBURST observations. <br><br><a href="https://zenodo.org/api/records/6487651/draft/files/real_pulse.db/content" target="_blank" rel="noopener noreferrer">real_pulse.db</a> is the database for pulses from pulsars observed with GREENBURST.</p>
The conductivity profile of Earth-ionosphere cavity used in the paper "Finite-difference time-domain analysis of ELF radio wave propagation in the spherical Earth-ionosphere waveguide and its validation based on analytical solutions" by Volodymyr Marchenko, Andrzej Kulak, Janusz Mlynarczyk
<p>The file "Marchenko_FDTD_Paper_Conductivity_Profile.dat" contains the conductivity profile of Earth-ionosphere cavity. The first column provides the altitude (in km) and the second column provides the conductivity (in S/m).</p>
Philips radio from the house of Szymon Kluger
Full name: **Philips radio receiver from the house of Szymon Kluger in Oświęcim, Poland** Model: Philips BS 401 A Manufacturer: Royal Philips N.V. (1950s) A desktop radio receiver from the collection of objects found in the house of Szymon Kluger (1925–2000), the last Jewish resident of Oświęcim. Szymon survived the Holocaust and eventually returned to his hometown. Surprisingly, he did so in the 1960s, when the last remaining Jews were on the point of leaving postwar Oświęcim in the face of mounting antisemitism and a growing sense of isolation. **For more images and further information, visit:** https://muzea.malopolska.pl/en/objects-list/2884 Inventory number: MZ-294-O Localisation of the physical object: Auschwitz Jewish Centre, Oświęcim, Poland **Digitalisation: Regional Digitalisation Lab, Małopolska Institute of Culture in Kraków, Poland; "Virtual Museums of Małopolska" project** Source: Objaverse 1.0 / Sketchfab
1940s Radio "Radiola"
Shot me be, using a Canon 700d, Darktable and Agisoft. Retopology by Niclas Ekholm. Thank you Stockholms Stadsmuseum for providing interesting objects. Check out https://sketchfab.com/Stadsmuseet Mid 1940s radio. Branded "Radiola", manufactured by LM Ericsson. Mitten av 1940-talet. Av modellen "Radiola", tillverkad av LM Ericsson. Målad grå-beige. Högtalaröppning med väv. Reglageknappar i vit plast. Har tillhört skådespelaren Nils Eklund. Skänktes till museet 1986 av dennes bror. Enligt givaren fanns en Radiola i varje hem eftersom den var billig nog att införskaffa. Source: Objaverse 1.0 / Sketchfab
Radio
Old fictional US Radio from the 1950s for our game VR Wheelchair Basketball. Source: Objaverse 1.0 / Sketchfab
Collaborating with Kharkiv National University of Radio Electronics
<div>Publications co-authored by the Kharkiv National University of Radio Electronics and other Kharkiv Universities</div> <div>Dataset from SciVal </div> <div>Year range 2013 to 2022</div>
Data: UTrack3D: 3D Tracking Using Ultra-wideband (UWB) Radios
<p>"# UTrack3D"</p> <p><strong>Environments</strong>: Python3.7 & Matlab2021</p> <p><strong>System</strong>: Windows 11</p> <div> <h2>Install prerequisites</h2> <a href="https://github.com/yifeng361/UTrack3D#install-prerequisites"></a></div> <ul> <li> <p>Python: We test our code using Python3.7. Advanced Python versions work as well. <a href="https://www.python.org/downloads/" rel="nofollow">https://www.python.org/downloads/</a></p> </li> <li> <p>Matlab: We test our code using Matlab2021. Advanced Matlab versions work as well. The matlab is only used for performance evaluation in this code. In case you prefer not installing Matlab, several pre-generated examples are provided.</p> </li> <li> <p>Python libraries: <code>pip install -r requirements.txt</code></p> </li> </ul> <div> <h2>Running</h2> <a href="https://github.com/yifeng361/UTrack3D#running"></a></div> <ul> <li>Run script <code>run_offline_analysis.py</code> for tracking.</li> </ul> <p><code>python run_offline_track.py</code></p> <p>This reads pre-stored CIR data (./raw_data) and generates a file <code>tracking_results.mat</code> in ./output which stores the estimated trajectory and ground-truth trajectory. We provide three examples (test1, test2, test3). One can modify the following line to test a specific example.</p> <p><code>file_dir = "./raw_data/test1/"</code></p> <ul> <li>Run script <code>./matlab_analysis_scripts/evaluate_accuracy_ae.m</code> to compute error and perform visualization. This script takes <code>tracking_results.mat</code> as inputs and generates CDF error plot and trajectory visualization in the current folder.</li> </ul> <p>The CDF error plot and trajectories of three examples have already been pre-generated and put in <code>./matlab_analysis_scripts/</code>.</p>
Broadcast of the BioReCer project in a Spanish radio show (synchronised version)
<p>In a 20 min talk show format organised by EURADIA/BETANIA, Cetaqua, Anfaco and Unitelma explained BioReCer (https://biorecer.eu/) to the general public. The broadcast took place at https://radioecogestiona.com/</p> <p>CETAQUA explained what the project consists of and its advantages.<br>ANFACO commented on the case studies they are working on.<br>UNITELMA explained the importance of stakeholders in the project and how to be part of it.</p> <p>BioReCer (Biological Resources Certifications Schemes) aims at assessing and complementing current certification schemes for biological resources according to the new EU sustainability goals to enhance bio-based circular systems.</p> <p>This will be achieved by including new criteria that align with EU taxonomy and EU corporate due diligence regulations into guidelines for certifying biological resources’ sustainability, origin, tracking and traceability (T&T), and by ensuring applicability at EU and global scale.</p> <p>By promoting the sustainability and trade of biological resources, BioReCer will increase the added value, use, as well as social acceptance of bio-based products.</p> <p><em>Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.</em></p>
Code and data for "Comparing cost-effectiveness of radio and drone telemetry with playback surveys for assessing translocation outcomes"
<p><strong>Overview</strong></p> <p>Code and data used for the analyses of Stone et al., 2024 "Comparing cost-effectiveness of radio and drone telemetry with playback surveys for assessing translocation outcomes". Forthcoming in Journal of Applied Ecology</p> <p><strong>Abstract</strong></p> <p>1. Post-release monitoring is critical for assessing translocation outcomes. Yet the quality of information gained from monitoring can vary greatly, and perceived monitoring costs often results in reduced monitoring effort. Selecting cost-effective monitoring strategies that provide high quality data is therefore important for assessing translocation outcomes and making informed management decisions. <br>2. To compare how monitoring strategy affects information gained, we monitored a toutouwai/North Island robin (Petroica longipes) reintroduction in Aotearoa New Zealand, based on monitoring objectives of determining survival, site fidelity and whether the extent of management was large enough to protect dispersing individuals. We compared how these objectives were met through four monitoring strategies: 1) comprehensive surveys with ground radio telemetry and playback; 2) aerial drone telemetry; 3) dedicated playback by trained surveyors and 4) opportunistic playback by predator control contractors. We undertook a viewshed analysis to determine search coverage of each strategy and compared detection rates, efficiency, and cost. <br>3. Comprehensive ground telemetry and playback, while costly, covered the largest area and provided the most accurate data on dispersal, survival and the translocation outcome. In comparison, opportunistic playback monitoring detected substantially fewer individuals, giving a false impression of low site fidelity and survival and a failed translocation. Although drone telemetry had considerable site-specific limitations, which limited its effectiveness during our study, it was the most cost-effective with a high detection rate and low search effort. <br>4. Synthesis and applications: Our study shows the value of intensive monitoring in facilitating management decisions for wildlife translocations. Comprehensive telemetry and playback, while costly, were invaluable for gaining high quality information on the translocation outcome. Without suitable monitoring, reintroduction outcomes can be difficult to assess and potentially result in unnecessary, ineffective, or overly expensive management actions. We recommend that monitoring intensity and methodology should reflect the site, species and level of uncertainty regarding the translocation outcome. Prioritising monitoring can help reduce long-term costs, increase quality of information gained and allow for more informed management decisions that can improve subsequent translocation outcomes.</p>
Crab giant pulse detected with the Dwingeloo radio telescope on 2024-07-30
<p>This is a 0.2 second recording of a giant pulse of the Crab Pulsar, recorded with the Dwingeloo Radio Telescope. The data format is SigMF: the metadata file contains all metadata, while the data file contains raw 16-bit IQ samples. The recorded bandwidth is 400-420 MHz.</p>
Fine vertical structures at the cloud heights of Venus revealed by radio holographic analysis of Venus Express and Akatsuki radio occultation data -- dataset
<p>The data used in the figures in the paper "Fine vertical structures at the cloud heights of Venus revealed by radio holographic analysis of Venus Express and Akatsuki radio occultation data" by Imamura et al. (J. Geophys. Res)</p> <p>The description of the columns in the files are given in the header section.</p>
WP2 T2.4 MEDIA T12 Live pilot 3, MNM radio studio, visual radio pilot
<p> Live pilot 3, MNM radio studio, visual radio pilot</p> <p>3 files:<br> mnm-360-1.mp4: host of the show view<br> mnm-360-2.mp4: total view of the studio<br> mnm-360-3.mp4: dashboard of the host<br> </p> <p> </p>
Test and validation data for Robbie: A Batch Processing Work-flow for the Detection of Radio Transients and Variables
<p>Robbie: a general work-flow for the detection and characterization of radio variability and transient events in the image domain.<br> Robbie is designed to work in a batch processing paradigm with a modular design so that components can be swapped out or upgraded to adapt to different input data, whilst retaining a consistent and coherent methodological approach.<br> Robbie is based on commonly used and open software, and is encapsulated in a Makefile to aid portability and reproducibility.<br> In the description paper we describe the methodology behind Robbie, and demonstrate its use on real and simulated data.</p> <p>This repository contains the observed and simulated data that was used in the description paper.</p> <p> </p>
Data and code for "Observation and stabilization of photonic Fock states in a hot radio-frequency resonator"
<p>This folder contains all the code necessary to produce the figures of the paper entitled "Observation and stabilization of photonic Fock states in a hot radio-frequency resonator" written by Mario F. Gely, Marios Kounalakis, Christian Dickel, Jacob Dalle, Rémy Vatré, Brian Baker, Mark D. Jenkins and Gary A. Steele</p> <p><strong>Content: </strong></p> <p>data/<br> Contains multiple folders each corresponding to a measurement. <br> These are all time stamped. <br> Inside each of these folders is a python file which corresponds to the measurement script run using the open source STlab library (see version closest to the time stamp on https://github.com/steelelabgit/stlab).<br> There is also a DAT file containing the measurement data and an accompanying text file which provides the name and end values of the swept parameters<br> This data will be opened and manipulated in the ipython notebooks</p> <p>analysis_results/<br> Contains the results of the ipython notebooks _*.ipynb<br> These are run on a computer cluster and generate information used in other ipython notebooks</p> <p>adaptive_rwa_solver_bootstrap_diagonal*.py<br> Libraries used to run the adaptive rotating wave approximation simulations</p> <p>load_data.py<br> Modules used to load data from data/</p> <p>plotting_functions.py<br> Modules used to plot 3D data as well as to generate default matplotlib settings</p> <p>_*.ipynb<br> Notebooks run on a computer cluster (using python 2.7) to generate the information stored in analysis_results/ and used in other ipython notebooks</p> <p>1D_S4BC_S9.ipynb<br> Notebook which generates the figures 1D, S4(B,C) and S9 of the paper. <br> Other notebooks follow this same naming convention</p> <p>*.pdf<br> *.png<br> Plots generated from the ipython notebooks which are then imported in Adobe Illustrator to construct figures</p>
Low Frequency Radio Pulses Produced by Terrestrial Gamma-ray Flashes
<p>The data supports the manuscript entitled “Low Frequency Radio Pulses Produced by Terrestrial Gamma-ray Flashes<br> ” that is under review in GRL. These files can be opened by MATLAB. The data can be used freely for scientific purposes with appropriate citation.</p>
FRB Mock Catalog and Reproduction Package for "Birth and Evolution of Fast Radio Bursts: Strong Population-Based Evidence for a Neutron-Star Origin"
<h3>Quickstart: FRB Mock Catalog</h3> <p>A simulated 1-day catalog of one-off FRBs, that allows users to access the FRB population without installing the entire frbpoppy package. Download and unzip 1_Day_FRB_Sky_on_Earth.txt.zip (175 MB). This human and machine readable file contains 3.5E6 FRBs that are brighter than 0.01 Jy ms, the best limit in one-off FRB detection currently. The simulated catalog is produced by the perfect telescope in frbpoppy, free of selection effects, that observed 4pi of sky for 24 hrs, with minimum detectable fluence 0.01 Jy ms, for the best-fit no-delay SFR model. This file can be read using the accompanying jupyter notebook "starting_with_mock_catalog.ipynb".</p> <p>If you use this, please cite Wang & van Leeuwen 2024 (A&A), <a href="https://doi.org/10.1051/0004-6361/202450673">https://doi.org/10.1051/0004-6361/202450673</a></p> <h3>Reproduction package for the paper "Birth and Evolution of Fast Radio Bursts: Strong Population-Based Evidence for a Neutron-Star Origin"</h3> <p>ReproductionPackage.zip is a basic reproduction package for the paper "Birth and Evolution of Fast Radio Bursts: Strong Population-Based Evidence for a Neutron-Star Origin" by Wang & van Leeuwen (2024).</p> <p> * arXiv: [<a href="https://arxiv.org/abs/2405.06281">2405.06281</a>] <br> * DOI: [<a href="https://doi.org/10.1051/0004-6361/202450673">10.1051/0004-6361/202450673</a>] </p> <h3>Installation</h3> <p>First pull or download and `frbpoppy` from <https://github.com/TRASAL/frbpoppy>.<br>Then download `ReproductionPackage.zip` and extract it starting in the frbpoppy/ base directory.<br>The scripts to produce the Figures are found in folder `frbpoppy/tests/markov_chain_monte_carlo/`.<br>The data used for these Figures resides in folder `frbpoppy/data/populations/mcmc/`.</p> <h3>Software</h3> <p>The methods and software packages used to produce the results are listed in the paper (including links to the relevant publications and/or packages):<br> FRBPOPPY: <https://github.com/TRASAL/frbpoppy><br> TRASAL: <https://github.com/TRASAL></p> <h3>Raw Data</h3> <p>The data are publicly available at<br> https://www.wis-tns.org/</p> <p> </p>
ScienceDex guides
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International Brain Laboratory public data
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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.