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814 results for “radio”
Nobeyama Radio Polarimeter (NoRP) Solar Radio Burst List 1988-2023
<p>A list of 3818 solar radio bursts from 1988-2023 (Japanese daylight time) derived from light curves of NoRP data at 1.0, 2.0, 3.75, 9.4, 17.0 and 35 GHz in an HTML file, with linked PDFs of the event light curves. A csv version of the catalog is also attached. The list includes timing, peak radio fluxes, GOES soft X-ray flare associations, where possible, and the highest (NASA) RHESSI satellite hard X-ray channel with a detection associated with the flare (RHESSI ceased operation in 2018). The list was produced by SW from data publicly available at the National Astronomical Observatory of Japan (NAOJ) website at http://solar.nro.nao.ac.jp/norp/xdr. For a description of NoRP and the data, see Shimojo & Iwai (2023; doi 10.1002/gdj3.165) and references therein.</p>
Datasets for '3D Reconstruction of Equatorial Plasma Bubbles Using EOF and GNSS Radio Occultation Data From MSS-1 and COSMIC-2'
<p> </p> <p> </p> <p> </p>
Presentación de Caso Radio María Argentina
<p>Ponencia - I Congreso Latinoamericano de Marketing Social</p>
Dataset for "First Observations of Large Scale Traveling Ionospheric Disturbances Using Automated Amateur Radio Receiving Networks"
<p># 20171103.rbn_pskreporter_wspr_data.csv<br> #<br> # This data file contains the amateur radio spot data used in the manuscript:<br> # "First Observations of Large Scale Traveling Ionospheric Disturbances Using Automated Amateur Radio Receiving Networks"<br> # by Nathaniel A. Frissell W2NAF, Stephen R. Kaeppler AD0AE, Diego F. Sanchez KD2RLM, Gareth W. Perry KD2SAK,<br> # William D. Engelke AB4EJ, Philip J. Erickson W1PJE, Anthea J. Coster, J. Michael Ruohoniemi, and Joseph B. H. Baker<br> #<br> # Observations are provided courtesy of:<br> # 1. The Weak Signal Propagation Reporting Network (WSPRNet, https://www.wsprnet.org/)<br> # Operated by Bruce Walker W1BW<br> #<br> # 2. The Reverse Beacon Network (RBN, http://www.reversebeacon.net/)<br> # Operated by Nick Sinanis F5VIH/SV3SJ, David Pascoe KM3T, Mark Glenn K7MJG, Peter Smith N4ZR, Felipe Ceglia PY1NB/CT7ANO, and Dick Williams W3OA<br> #<br> # 3. PSKReporter (https://pskreporter.info/)<br> # Operated by Philip Gladstone N1DQ<br> #<br> # Explanation of Data Columns:<br> # freq: Frequency [kHz]<br> # ut: Time of Observation in Universal Time (UT)<br> # source: Observation Network (WSPRNet, RBN, or PSKReporter)<br> # tx_grid: Transmitter Maidenhead Gridsquare<br> # rx_grid: Receiver Maindenhead Gridsquare<br> # tx_lat: Transmitter Latitude (deg)<br> # tx_long: Transmitter Longitude (deg)<br> # rx_lat: Receiver Latitude (deg)<br> # rx_long: Receiver Longitude (deg)<br> # dist_Km: Ground-Level Great Circle Distance between Transmitter and Receiver (km)<br> # md_lat: Midpoint between Transmitter and Receiver Latitude (deg)<br> # md_long: Midpoint between Transmitter and Receiver Longitude (deg)<br> # slt_mid: Solar Local Time of Midpoint (hr)<br> #<br> # This datafile is a subset of the full WSPRNet/RBN/PSKReporter data, filtered with the following parameters:<br> # ut min: 2017-11-03 00:00:00<br> # ut max: 2017-11-03 23:59:59<br> # freq min: 14000.382<br> # freq max: 14280.0<br> # md_lat min: 20.004737453151876<br> # md_lat max: 54.99977112001497<br> # md_long min: -129.99845895196913<br> # md_long max: -60.008771378901315<br> # dist_Km min: 0.0<br> # dist_Km max: 19861.14355003741</p>
Territorial response predictability in radio-tagged great tits Parus major
<p>Territorial animals often use signals to advertise territorial occupancy within their larger home ranges. Songbirds are among the best-studied territorial signaling taxa, and when competitors start singing during a territorial intrusion, residents usually show elevated spatial and vocal responses. These responses could be used by intruders and distant eavesdroppers to predict future responses or to compare responses across competitors. Yet, the extent to which responses of a resident to a territorial intrusion predict its future responses and its overall spatial behavior (home range) within a neighborhood is less well understood. We used wild great tits (<em>Parus major</em>) as a model species in repeated song playback trials, simulating territorial intrusions combined with radio-tracking before and during playback trials. The time spent close to the loudspeaker in response to an initial simulated intrusion predicted the same response variable during a second simulated intrusion on the next day, whereas singing activity during the first simulated intrusion did not predict singing during the second simulated intrusion. We also show that more explorative males (as determined by a novel environment test) and males with smaller home ranges sang more and spent more time near the loudspeaker in response to both simulated intrusions. Thus, by probing residents, intruders can obtain reliable information about subsequent response probabilities, while eavesdroppers from a distance, who can use auditory information only, would not receive sufficient predictive information. Our findings also suggest that males with larger home ranges are more tolerant towards intruders, which could reflect a trade-off between tendencies to respond strongly and to range widely. The lack of predictability of singing activity with regard to responses to future intrusions might explain why territorial animals continuously exchange vocal signals and regularly foray into neighboring territories, as a way to obtain regular information updates.</p>
Numerical data for Figures in Radio Science paper entitled "Flatness Error Compensation of Large Near-Field Scanning Frame Based on Cubic Spline Interpolation"
<p>Data format is EXCEL</p>
LOFAR IE613/DE604/FR606 Observations of Io-Decametric Radio Emissions on 8 June 2021
<p>This dataset contains observations of the Jovian decametric radio emission induced by Io, measured on 8 June 2021 with the DE604, FR606 and IE613 LOFAR stations, and used in the Louis et al., 2022 (RASTI journal) paper (doi: TBA).</p> <p>The first file (IE613_Jupiter_2021-06-08T040000-070000_84msec_12khz.fil) contains the data at a resolution of ~83.9 msec by ~12.2 kHz, from 04:00:00 UTC to 07:00:00 UTC and in the [7.8 - 55.5] MHz range.</p> <p>The second file (IE613_Jupiter_2021-06-08T051030-051040_fullres_82musec_12khz.fil) contains 10 seconds of the above data (05:10:30 UTC to 05:10:40 UTC) at the highest resolution (81.92μsec by ~12.2 kHz).</p> <p>The third file (FR606_Jupiter_2021-06-08T051030-051040_fullres_82musec_12khz.fil) contains the same 10 seconds than the above file (05:10:30 UTC to 05:10:40 UTC) observed by the Nançay FR606 LOFAR station, at the highest resolution (81.92μsec by ~12.2 kHz)</p> <p>The fourth file (DE604_Jupiter_2021-06-08T051030-051040_fullres_82musec_12khz.fil) contains the same 10 seconds than the two above files (05:10:30 UTC to 05:10:40 UTC) observed by the Postdam DE604 LOFAR station, at the highest resolution (81.92μsec by ~12.2 kHz)</p> <p>These files can be read and processed using the python plot_raw_data.py routine (Louis, 2022, https://doi.org/10.5281/zenodo.6470741)</p> <p> </p>
Radio Complutense: Amal El Hamiti entrevista a Estrella Samba-Campos sobre Nasr Hamid Abu Zayd y su obra
<p>Trabajo realizado por Amal El Hamiti, estudiante del Grado en Estudios Semíticos e Islámicos, para la asignatura "Pensamiento: Historia del Pensamiento Árabo-Islámico". Curso: 3º. Profesor: Ignacio Álvarez-Ossorio.</p> <p>Incluye una entrevista realizada en <a href="https://listen.samcloud.com/v2/72489?page=page-overview">Radio Complutense</a> con la Dra. Estrella Samba-Campos sobre su trabajo de D.E.A. (Diploma de Estudios Avanzados) acerca del pensador Nasr Hamid Abu Zayd y su obra.</p>
On the impact of the antenna radiation patterns in passive radio sensing: dataset
<p>The measurement sessions took place in a hall with size 6.15 m × 14.45 m and floor-ceiling height equal to 3.35 m. TX and RX nodes are spaced d=4.00 m apart, while the LOS is horizontally placed at h=0.99 m from the floor.</p> <p>The received power P is measured using a real-time spectrum analyzer (SA) with a built-in tracking generator. The SA tracks N=401 frequency points equally spaced with Δf=1.25 MHz. Further settings are detailed in the paper:</p> <p><a title="Deposited paper " href="https://arxiv.org/abs/2405.09352" target="_blank" rel="noopener">https://arxiv.org/abs/2405.09352</a></p> <p>1) dir_dir_measurements.csv: [401x75]: received power measurements [dBm] using antenna with a directional pattern (described in the paper) and target on each of the 75 positions. These are ordered following the enumeration of the scenario scheme (see Figure 2 in the paper).</p> <p>2) dir_dir_measurements.csv: [401x2]: free space received power measurements (before and after the experiment) [dBm]</p> <p>3) frequency_points.csv [401x1]: observed 401 frequencies from 2.149 GHz to 2.649 GHz (resolution BW 400kHz, 1.2MHz freq. spacing)</p> <p>4) omni_omni_measurements.csv: [401x75]: received power measurements [dBm] with omnidirectional antenna and target on each of the 75 positions. These are ordered following the enumeration of the scenario scheme (see Figure 2 in the paper).</p> <p>5) omni_omni_measurements.csv: [401x2]: free space received power measurements (before and after the experiment) [dBm]</p> <p>6) average_radio_map_generation_example.m: matlab script example (generate radio maps with omnidirectional and directional antennas)</p>
Corresponding Dataset for "Electron Density in Io's Alfvén Wing Observed via Radio Occultation with Juno"
<div> Corresponding Dataset for "Electron Density in Io’s Alfvén Wing </div> <div> Observed via Radio Occultation with Juno"</div> <div> README FILE</div> <div> Dustin Buccino</div> <div> July 15, 2024</div> <div> Jet Propulsion Laboratory</div> <div> California Institute of Technology</div> <div> </div> <div>=============================================================================</div> <div>INTRODUCTION</div> <div>=============================================================================</div> <div> </div> <div> This dataset contains processed radio science data and results of the</div> <div>Juno Ganymede radio occultation. This dataset is provided in order to </div> <div>supplement the submitted article to the "Geophysical Research Letters"</div> <div>journal:</div> <div> </div> <div> Buccino, D.R., et al (2024), Electron Density in Io’s Alfvén Wing </div> <div> Observed via Radio Occultation with Juno, Geophysical Research </div> <div> Letters, submitted July 2024.</div> <div> </div> <div> </div> <div> Please note the raw data used in this analysis are not provided in this</div> <div>supplementary dataset. The raw Juno Gravity Science Data may be found at </div> <div>the Planetary Data System:</div> <div> </div> <div> Buccino, D. R. (2016). Juno jupiter gravity science raw data set </div> <div> V1.0, JUNO-J-RSS-1 JUGR-V1.0, NASA planetary data system (PDS). </div> <div> Retrieved from https://atmos.nmsu.edu/PDS/data/jnogrv_1001/</div> <div> </div> <div> </div> <div>=============================================================================</div> <div>ARCHIVE INFORMATION</div> <div>=============================================================================</div> <div> </div> <div> This archive contains ten files within the root directory.</div> <div> </div> <div> </div> <div> I57 Data</div> <div> </div> <div> i57_observed.txt</div> <div> Raw frequency observables. Reported as X-band minus Ka-band,</div> <div>see paper for details (X_freq - 880.0/3360.0*Ka_freq)</div> <div> </div> <div> i57_tec.csv</div> <div>Total electron content information from the flyby</div> <div>(uncalibrated, model, calibrated data)</div> <div> </div> <div> i57_density_inbound_raytracing.txt</div> <div>Estimated electron density inbound during the flyby </div> <div>estimated with the ray tracing method (see paper)</div> <div> </div> <div> i57_density_outbound_raytracing.txt</div> <div>Estimated electron density outbound during the flyby </div> <div>estimated with the ray tracing method (see paper)</div> <div> </div> <div> i57_density_tubes.csv</div> <div>Estimated electron density during the flyby using</div> <div>the horizontal tubes method (see paper)</div> <div> </div> <div> I58 Data</div> <div> </div> <div> i58_observed.txt</div> <div> Raw frequency observables. Reported as X-band minus Ka-band,</div> <div>see paper for details (X_freq - 880.0/3360.0*Ka_freq)</div> <div> </div> <div> i58_tec.csv</div> <div>Total electron content information from the flyby</div> <div>(uncalibrated, model, calibrated data)</div> <div> </div> <div> i58_density_inbound_raytracing.txt</div> <div>Estimated electron density inbound during the flyby </div> <div>estimated with the ray tracing method (see paper)</div> <div> </div> <div> i58_density_outbound_raytracing.txt</div> <div>Estimated electron density outbound during the flyby </div> <div>estimated with the ray tracing method (see paper)</div> <div> </div> <div> i58_density_tubes.csv</div> <div>Estimated electron density during the flyby using</div> <div>the horizontal tubes method (see paper)</div> <div> </div> <div>=============================================================================</div> <div>FILE FORMAT</div> <div>=============================================================================</div> <div> </div> <div> This dataset contains only ASCII formatted files. There are two formats,</div> <div> a plain-text file with the extension *.txt and a comma-separated file</div> <div> with the extension *.csv.</div> <div> </div> <div> </div> <div> PLAIN-TEXT FILES</div> <div> -------------------------------------------------------------------------</div> <div> </div> <div> The plain ASCII text files (TXT) files are fixed-width columns. Values in</div> <div> each data file are separated with spaces. Each column is defined </div> <div> by a header row which provides a description of each column.</div> <div> </div> <div> CSV FILES</div> <div> -------------------------------------------------------------------------</div> <div> </div> <div> The Comma-Separated Value (CSV) files are plain-text files. Values in</div> <div> each data file are separated using a comma ",". Each column is defined </div> <div> by a header row which provides a description of each column.</div> <div> </div> <div> </div> <div>=============================================================================</div> <div>ACKNOWLEDGMENTS</div> <div>=============================================================================</div> <div> </div> <div>The work of DB, MP, RP, and SL was carried out at the Jet Propulsion </div> <div>Laboratory, California Institute of Technology, under a contract with the </div> <div>National Aeronautics and Space Administration. Government sponsorship </div> <div>acknowledged.</div> <div> </div> <div>AC, LGC, MZ, EG, and PT are grateful to the Italian Space Agency (ASI) for </div> <div>financial support through Agreement No. 2023-6-HH.0 in the context of ESA’s </div> <div>JUICE mission, and Agreement No. 2022-16-HH.0, for ESA’s BepiColombo and </div> <div>NASA’s Juno radio science experiments.</div> <div> </div> <div>PW and DC acknowledge support from NASA award 80NSSC23K0020.</div> <div> </div> <div>PS was supported by NASA Contract NNM06AA75C from the Marshall Space </div> <div>Flight Center under subcontract 699054X from Southwest Research Institute.</div> <div> </div> <div>(c) 2024 California Institute of Technology. Government sponsorship </div> <div>acknowledged.</div> <div> </div> <div>=============================================================================</div> <div>PRIMARY POINT OF CONTACT</div> <div>=============================================================================</div> <div> </div> <div>Dustin Buccino</div> <div>Jet Propulsion Laboratory</div> <div>Planetary Radar and Radio Sciences</div> <div>(818) 393 - 1072</div> <div>Dustin.R.Buccino@jpl.nasa.gov</div> <div> </div> <div>=============================================================================</div> <div>ACRONYMS AND ABBREVIATIONS</div> <div>=============================================================================</div> <div> </div> <div> ASCII American Standard Code for Information Interchange</div> <div> DOY Day of year</div> <div> DSN Deep Space Network</div> <div> JPL Jet Propulsion Laboratory</div> <div> NAIF Navigation Ancillary Information Facility</div> <div> NASA National Aeronautics and Space Administration</div> <div> PDS Planetary Data System</div> <div> RS Radio Science</div> <div> RSS Radio Science Subsystem</div> <div> SIS Software Interface Specification</div> <div> TXT Text file</div> <div> UTC Universal Time, Coordinated</div>
Interview in Canal Sur Radio
<p>Interview to talk about my awarded research funding EMERGIA.</p>
Outdoor 60 GHz radio propagation measurements using terragraph channel sounder
<p>This data set contains the measurement data obtained from an outdoor 60 GHz measurement campaign using the Terragraph (TG) channel sounder.</p> <p>The measurement data includes Line-of-Sight path loss for distances up to 130 m, building reflection loss, corner diffraction, and tree trunk attenuation. </p>
Data attached to Radio Science paper "Model to Scale Rain Attenuation Time Series with Link Elevation Angle for LEO Satellite Based Systems"
<p>Data attached to Radio Science paper "Model to Scale Rain Attenuation Time Series with Link Elevation Angle for LEO Satellite Based Systems"</p>
X-ray properties of high-redshift Radio Loud and Radio Quiet Quasars observed by Chandra
<p><a href="http://arxiv.org/abs/2301.02866">X-ray properties of high-redshift Radio Loud and Radio Quiet Quasars observed by Chandra</a></p> <p>The following data set presents the data used in our research paper "X-ray properties of high-redshift Radio Loud and Radio Quiet Quasars observed by Chandra " <a href="http://http://arxiv.org/abs/2301.02866">http://arxiv.org/abs/2301.02866</a>. These tables contain the X-rays parameters of our selected sample of quasars. The file name acronames are (RLQ: Radio Loud Quasars), (RQQ: Radio Quiet Quasars), and (RIQ: Radio Intermediate Quasars). The number in the files name indicates the number of quasars in this file. Each parameter has its corresponding data type, physical description, and unit.</p>
Simulation Data for "A formation mechanism for "Wrong Way" Radio Relics"
<p>Data for the relevant simulation domain used in <a href="https://ui.adsabs.harvard.edu/abs/2023arXiv230900046B/abstract">Böss et. al. (2023a)</a>.</p> <p>Analysis scripts can be found at <a href="https://zenodo.org/record/8391369">here</a>.</p>
Simulated HERA Dataset for "Remove First, Detect Later: A Counter-intuitive Approach For Detecting Radio Frequency Interference in Radio Sky Imagery"
Open the record for dataset details and reuse information.
Effects of Radio-frequency in Patients With Myofascial Chronic Neck Pain
ClinicalTrials.gov study NCT02353195. IPD Sharing: NO. Countries: 0. Publications: 1.
Postmarket Evaluation of the Phased Radio Frequency Ablation System (GOLD AF Registry)
ClinicalTrials.gov study NCT02433613. IPD Sharing: Not stated. Countries: 14. Publications: 0.
Study of Topically Applied Green Tea Extract for Radio Dermatitis and Radiation Mucositis
ClinicalTrials.gov study NCT01481818. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Reducing African-American CVD Disparities Intervention Optimization (RADIO) Individuals on Statins
ClinicalTrials.gov study NCT05954000. IPD Sharing: YES. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
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.