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814 results for “radio”
Appendix Figures B.1–B.7 from the article 'Core Prominence as a Signature of Restarted Jet Activity in the LOFAR Radio-Galaxy Population' (Accepted for publication in the journal Astronomy & Astrophysics on August 23, 2024)
<p><strong>Figure captions:</strong></p> <p> </p> <p><strong>Figs. B.1–B.5.</strong> Images of 69 candidate restarted galaxies selected based on high radio $\mathrm{CP_{1400}}$ combined with low SB of extended emission, a steep spectrum of the core, and USS extended emission coupled with a bright core and summarised in Tables A.1 and A.2. Radio contours from VLA FIRST maps (white, $5^{\prime\prime}$), LOFAR high-resolution maps (black, $6^{\prime\prime}$), and NVSS maps (purple, $45^{\prime\prime}$) are overlaid on the LOFAR low-resolution resolution maps (orange, $20^{\prime\prime}$). The contouring of all the maps is made at $\,\sigma_\mathrm{local}\times(-3,3,5,10,20,30,40,50,100,150,200)$ levels, with $\sigma_\mathrm{local}$ representing the local RMS noise of the corresponding maps. The host galaxy position is marked with a yellow cross.</p> <p> </p> <p><strong>Figs. B.6–B.7. </strong>Images of sources excluded from the sample of restarted candidates following the criteria discussed in Sect. 3.1, Sect. 3.2 and Sect. 3.3 and summarised in Tables A.3 and A.4. Radio contours from VLA FIRST maps (white, $5^{\prime\prime}$), LOFAR high-resolution maps (black, $6^{\prime\prime}$), and NVSS maps (purple, $45^{\prime\prime}$) are overlaid on the LOFAR low-resolution resolution maps (orange, $20^{\prime\prime}$). The contouring of all the maps is made at $\,\sigma_\mathrm{local}\times(-3,3,5,10,20,30,40,50,100,150,200)$ levels, with $\sigma_\mathrm{local}$ representing the local RMS noise of the corresponding maps. The host galaxy position is marked with a yellow cross.</p> <p> </p>
Radio and gamma-ray timing of TRAPUM L-band Fermi pulsar survey discoveries - Supplementary material
<p>Timing ephemerides for the redback pulsar J1803-6707 (published in <em>"Radio and gamma-ray timing of TRAPUM L-band \textit{Fermi} pulsar survey discoveries"</em>, Burgay et al 2024, A&A) covering 15 years of Fermi data. The ephemeris are provided both in "ORBIFUNC" (to be used with timing software <a href="https://bitbucket.org/psrsoft/tempo2/src/master/" target="_blank" rel="noopener">tempo2</a>) and "ORBWAVES" (with <a href="https://github.com/nanograv/PINT" target="_blank" rel="noopener">PINT</a>) formats. The ORBIFUNC parameters are a time-domain interpolating function describing the orbital phase variations over time, while the ORBWAVES parameters are the Fourier-domain representation of the same function.</p>
Venus Express IMA solar wind data for VeRa radio science observations
<p>The Venus Express (VEX) Analyser of Space Plasmas and Energetic Atoms (ASPERA-4)<br>ion mass spectrometer (IMA) observed the the pristine solar wind parameters<br>at Venus between 2006 and 2014. Details can be found in<br>Barabash et al. (2007) Planetary and Space Science, Vol. 55 (12), pp. 1772-1792<br>The Analyser of Space Plasmas and Energetic Atoms (ASPERA-4) for the <br>Venus Express mission.</p> <p>This file is based on the VEX_IMA_SW_NVP_20060101.cef data file provided<br>by M. Fränz (MPI for Solar System Research, Goettingen, Germany) and contains only those ASPERA-4<br>solar wind observations used in the publication Peter et al. (2024) Icarus<br>The variability of the topside ionospheres of Venus and Mars<br>as seen by recent radio science observations (Appendix A4 Fig. 2).</p> <p>Data are based on hourly average IMA spectra obtained when VEX was at larger distance than<br>1 Venus radius from nominal bow shock (Martinecz 2009, PhD). Density and total velocity<br>are obtained by integration over the IMA_EXTRA proton spectrum. Dynamic pressure<br>by product of density and velocity. This file contains only orbits used for VERA analyis.</p>
Dispersal distances of radio-tracked cane toads in French Guiana
<p>Like most invasive species, cane toads have attracted less research in their native range than in invaded areas. We radio-tracked 34 free-ranging toads in French Guiana, a source region for most invasive populations, across two coastal and two rainforest sites. Coastal toads generally sheltered in pools of fresh or brackish water but nocturnally foraged on beaches, whereas rainforest toads sheltered in forested habitats, moving into open areas at night. Over five days of monitoring, native toads frequently re-used shelters and moved little between days (means = 10–63 m/site) compared to invasion-front toads from Australia (~250 m). Larger toads moved less between days, but displaced in more consistent directions. At night, foraging toads travelled up to 200 m before returning to shelters. Foraging distance was related to body condition at coastal sites, with toads in poorer body condition travelling farther. Rain increased the probability of coastal toads sheltering in the dry habitats where they foraged. Dispersal and rainfall were lower at coastal sites, and the strategies utilized by coastal toads to minimize water loss resembled those of invasive toads in semi-desert habitats. This global invader already exhibits a broad environmental niche and substantial behavioural flexibility within its native range.</p>
Vertical temperature profiles obtained from Venus Express and Akatsuki radio occultation data using FSI
<p>Vertical temperature profiles of Venusian atmosphere obtained from selected radio occultation data taken in ESA's Venus Express and JAXA's Akatsuki missions. The temperatures were retrieved using a radio holographic method, Full Spectrum Inversion (FSI). The data list and format are given in two Excel files and the data are given in text files with an extension ".dat".</p>
Reproduction package for the paper "Multi-dimensional population modelling using frbpoppy: Magnetars can produce the observed fast radio burst sky"
<p>This is a basic reproduction package for the paper "Multi-dimensional population modelling using frbpoppy: Magnetars can produce the observed fast radio burst sky" by David Gardenier & Joeri van Leeuwen (2021).</p> <p>* arXiv: <a href="https://arxiv.org/abs/2012.06396">arXiv:2012.06396</a><br> * DOI: <a href="https://doi.org/10.1051/0004-6361/202040119">10.1051/0004-6361/202040119</a></p> <p> </p>
The circulation of relativistic electrons injected by radio galaxies in galaxy groups
<p>Remote talk describing the latest simulations on the injection, propagation and energy evolution of relativistic electrons released into the intracluster/group medium by the activity of radio galaxies.</p> <p>Based on these publications:</p> <p>https://ui.adsabs.harvard.edu/abs/2023A%26A...669A..50V/abstract</p> <p>https://ui.adsabs.harvard.edu/abs/2021A%26A...653A..23V/abstract</p>
Untranscribed Radio Broadcast Audio Segments for Silozi ASR
<p>Untranscribed audio collections of radio broadcast recordings segments in Silozi or Lozi from Zambia.</p>
Data files for Constraints on axionlike particles from a combined analysis of three flaring Fermi flat-spectrum radio quasars
<p>In this repository, we provide data files in connection to our publication “Constraints on axionlike particles from a combined analysis of three flaring Fermi flat-spectrum radio quasars” submitted for publication in Physical Review D and available on the Arxiv: <a href="https://arxiv.org/abs/2211.03414">https://arxiv.org/abs/2211.03414</a></p> <p><br> In the paper, we analyze data from the Fermi Large Area Telescope (LAT) of three flat spectrum radio quasars (FSRQs): 3C454.3, 3C279, and CTA102, to search for signatures of oscillations between photons and axion-like particles (ALPs).<br> In this repository, we provide the following data:</p> <ul> <li>Files ending on *_data_seds.npy contain the spectral energy distributions (SEDs) measured with the Fermi LAT and extracted using the fermipy software</li> <li>Files ending on *_LLs.npy contain the log-likelihood values of our fits over a grid of ALP masses and photon-ALP couplings</li> <li>Files ending on *_Lambdas.npy contain the log-likelihood ratio test values of our fits over a grid of ALP masses and photon-ALP couplings</li> <li>Files ending on *_LL_thresh.npy contain the threshold values for the log-likelihood ratio test for which we can claim an exclusion at the 95% confidence level over a grid of ALP masses and photon-ALP couplings</li> <li>Files ending on*_contours.npy contain the upper limit contours.</li> </ul> <p>Files starting with "ALL" contain the likelihoods combined over all sources</p> <p>We also provide a minimal jupyter notebook, analysis_arrays.ipynb, that demonstrates how to read in the files.</p>
Untranscribed Radio Broadcast Audio Segments for Lunda ASR
<p>Untranscribed audio collections of radio broadcast recordings segments in Lunda or Chilunda from Zambia.</p>
Radio-Source Tracker: Autonomous Attitude Determination on a Radio Interferometric Swarm: supplementary dataset
<p>This repository contains the data files used to generate the figures presented in the following article:<br> Rouillé, E. et al. (2023) "Radio-Source Tracker: Autonomous Attitude Determination on a Radio Interferometric Swarm", submitted to Radio Science.<br> (Pre-print Arxiv, TBD)</p> <p>The data are the output of various runs of the simulation pipeline.<br> Simulations were run for various interferometer configurations, frequencies, noise levels and random draws.<br> This pipeline and its related package can be found online at the following address:<br> https://gitlab.obspm.fr/erouille/noire_simulation/</p>
Checkpoints for Morphological Classification of Radio Galaxies with wGAN-supported Augmentation
<p>Checkpoint for the Generator Model described in https://github.com/floriangriese/wGAN-supported-augmentation</p>
Data for JGR article: Observations of elves and radio wave perturbations by intese lightning
<p>This folder contains data used for the journal paper: Observations of elves and radio wave perturbations by lightning</p>
DeepREM: Deep-Learning-Based Radio Environment Map Estimation from Sparse Measurements
<p><strong>DeepREM: Deep-Learning-Based Radio Environment Map Estimation from Sparse Measurements</strong></p> <p>DeepREM combines two deep-learning models (U-Net and CGAN) that estimate Radio Environment Maps (REMs) from sparse measurements. In this repository, we present the dataset and the interactive app developed to use the resulting models derived from the research. </p> <p><strong>Urban REMs dataset: </strong>We present a (REM) dataset of urban scenarios. Each map provides coverage information in areas from 2290 x 3670 m<sup>2</sup> to 3810 x 5160 m<sup>2</sup> with a resolution of 10 m. Coverage areas are sampled from Colombian cities (Armenia, Bogota, Cali, Ibague, Manizales, Medellin, and Pasto) and U.S. cities (Columbus and Washington). The simulations include topographic and building vector database information and Intelligent Ray-Tracing as a propagation model.</p> <p>In our <strong>second version</strong>, 400 new REMs were added to the dataset, including 4 new city areas with different topographic and building features (100 REMs for each area). The new cities are Barranquilla, Bucaramanga, Popayan, and North Pasto, all in Colombia. In addition, we also present an interactive application developed in the Streamlit framework to test CGAN and UNET performance in RSRP and BS coverage predictions either with REMs from our dataset or with completely new user-supplied REMs.The repository of the app can be downloaded at the following link: <a href="https://gitlab.com/andreajohanacv/deeprem">DeepREMapp</a></p>
Ozone sonde and radio sonde data record Palau Atmospheric Observatory 2016-2021
<p>The Palau Atmospheric Observatory (PAO) balloon-borne ozonesonde and radiosonde database V1.0 provides raw data and calculated properties of Electrochemical Concentration Cell (ECC) ozonesonde measurements in .csv format from the PAO located in Koror, Palau (7.3420° N, 134.4722° E), in the Tropical West Pacific (TWP) from 2016-2021. The ECC sondes manufactured by Science Pump Corp. (SPC), model 6A, where prepared according to standard operating procedures (SOP) (Smit et al. 2014, for more details, see references and related publications). The accompanying radiosonde are Vaisala model RS92-SGP until October 2017 and RS41-SGP afterwards.The data are calculated from raw Vaisala software output using equations and tables according to Smit et al. 2014 (script available upon request) and include e.g. ozone volume mixing ratio and partial pressure for different background current corrections, which are of relevance in the low tropospheric ozone measurement in the TWP. No additional data smoothing has been applied to the Vaisala output, but beware that the change of radiosonde models was accompanied by software changes.</p> <p>We advise<strong> caution with using the stratospheric data</strong> for e.g. total column ozone assessment, as there were some discrepancies between individual soundings and MLS measurements (details, see related publications).</p> <p>The Palau ECC record is currently being continued and will be available in the SHADOZ database in SHADOZ standard format in the near future, which will be linked here.</p> <p><strong>Please email katrin.mueller@awi.de and let us know what your intended purpose for the use of the data is. You will then receive updates if an improved version becomes available.</strong></p>
Data of "Multilayer spintronic neural networks with radio-frequency connections"
<p>This dataset corresponds to the open data of the publication <strong>"Multilayer spintronic neural networks with radio-frequency connections"</strong>.</p>
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>
Mountaintop gamma ray observations of three terrestrial gamma-ray flashes at the Säntis Tower, Switzerland with coincident radio waveforms
<p>We report on the mountain top observation of three terrestrial gamma-ray flashes (TGFs) that occurred during the summer storm season of 2021. To our knowledge, these are the first TGFs observed in a mountaintop environment and the first published European TGFs observed from the ground. A gamma-ray sensitive detector was located at the base of the Säntis Tower in Switzerland and observed three unique TGF events with coincident radio sferic data characteristic of TGFs seen from space. We will show an example of a 'slow pulse' radio signature, an -EIP, and a double peak TGF associated with an extraordinarily powerful and complicated positive-polarity sferic, where each TGF peak is possibly preceded by a short burst of stepped leader emission. </p>
A Comparison framework for deep learning RFI detection algorithms in radio astronomy
<p>These are the datasets used for the study titled: A Comparison framework for deep learning RFI detection algorithms in radio astronomy. These files are made publicly available as an additional resource to the submission of the author's Masters degree at Stellenbosch University. The detection is done in the field of radio astronomy. Each dataset consists of images/spectrograms/waterfall plots for baselines, and the corresponding binary mask for each image. The datasets can be used to train machine learning models, or for the case of this study, supervised fully convolutional neural networks.</p> <p>The LOFAR datasets consists of real observations and was slightly modified from https://zenodo.org/record/6724065. See this resource regarding the observational parameters used to retrieve the data from the LOFAR Long Term Archive.The HERA dataset consists of simulated observations generated with hera_sim (https://readthedocs.org/projects/hera-sim/). The 28 March dataset consists of accurate pixel-perfect binary masks for each image. The 20 July dataset is identical to the first, except the binary masks are generated with AOFlagger. All three datasets have a test set stored with pixel-perfected simulation masks (HERA) or expert hand labeled masks (LOFAR).</p> <p>The csv file contains the results of all trained models and and has fields for: model class, #filters, #FLOPS, #weights, preprocessing methods, train, validation and test accuracy scores as well as list of (threshold, FPR, TPR) values to generate receiver operating characteristic curves. See https://github.com/CharlDuToit/RFI-NLN to visualize the results, to train new models.</p>
Photos of Isfjord Radio from 12.09.2023
<p>Photos were obtained with use of drone.</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.