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Dataset results
14 results for “radio astronomy”
LOFAR dataset for deep learning assisted data Inspection for radio astronomy
<p>This dataset is used for the training of the magnitude and phase-based VAE in the paper entitled "Deep learning assisted data inspection for radio astronomy".</p> <p>For uploading purposes the dataset has been separated into 4 different .zip files. In order to use this dataset each of the zip files should be extracted into a single directory so that the training can be performed on all files at the same time. <br> <br> More information can be found on <a href="https://github.com/mesarcik/DL4DI">the project github repository</a>. </p>
Supporting data and scripts for Nature Astronomy article "Detection of two bright radio bursts from magnetar SGR 1935+2154" by Kirsten et al.
<p>This data set contains scripts and data used to analyze the observations described in Nature Astronomy article "Detection of two bright radio bursts from magnetar SGR 1935+2154" by Kirsten et al. 2020. The scripts used to create the plots therein also included.</p>
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>
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>
ULY JUP URAP RADIO ASTRONOMY REC AVERAGE E-FIELD 10 MIN
C USER'S GUIDE TO RAR 144 SECOND AVERAGED DATA FILES ------------------ This document describes the contents and format of the RAR 144 second averaged data files.
ULY JUP URAP RADIO ASTRONOMY REC PEAK E-FIELD 10 MIN
A. UDS data files -------------------- Eight files are provided that conform to the UDS conventions regarding the naming of files and the format of the data. The eight files are divided into 4 pairs of files with each pair consisting of a file containing data averaged over a 10 minute period and a file containing the maximum data value during the same 10 minute period. The 4 pairs of file contain data for the RAR, the PFR, WFA - magnetic field, and WFA - magnetic field.
ULY JUP URAP RADIO ASTRONOMY REC AVERAGE E-FIELD 144 SEC
C USER'S GUIDE TO RAR 144 SECOND AVERAGED DATA FILES ---------------- This document describes the contents and format of the RAR 144 second averaged data files.
VG1 JUP RADIO ASTRONOMY REDUCED 6SEC V1.0
VG1-J-PRA-3-RDR-6SEC-V1.0
VG2 JUP RADIO ASTRONOMY REDUCED 6SEC V1.0
VG2-J-PRA-3-RDR-6SEC-V1.0
ULY JUP URAP RADIO ASTRONOMY REC AVERAGE E-FIELD 144 SEC
C USER'S GUIDE TO RAR 144 SECOND AVERAGED DATA FILES ---------------------------------------------------- This document describes the contents and format of the RAR 144 second averaged data files.
ULY JUP URAP RADIO ASTRONOMY REC AVERAGE E-FIELD 10 MIN
A. UDS data files --------------------- Eight files are provided that conform to the UDS conventions regarding the naming of files and the format of the data. The eight files are divided into 4 pairs of files with each pair consisting of a file containing data averaged over a 10 minute period and a file containing the maximum data value during the same 10 minute period. The 4 pairs of file contain data for the RAR, the PFR, WFA - magnetic field, and WFA - magnetic field.
ULY JUP URAP RADIO ASTRONOMY REC PEAK E-FIELD 10 MIN
A. UDS data files -------------------- Eight files are provided that conform to the UDS conventions regarding the naming of files and the format of the data. The eight files are divided into 4 pairs of files with each pair consisting of a file containing data averaged over a 10 minute period and a file containing the maximum data value during the same 10 minute period. The 4 pairs of file contain data for the RAR, the PFR, WFA - magnetic field, and WFA - magnetic field.
VG2 JUP RADIO ASTRONOMY REDUCED 6SEC V1.0
VG2-J-PRA-3-RDR-6SEC-V1.0
VG1 JUP RADIO ASTRONOMY REDUCED 6SEC V1.0
VG1-J-PRA-3-RDR-6SEC-V1.0
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
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DANDI Archive for NWB datasets
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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.