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SDOML Dataset Not Corrected for Degradation Over Time

<p>This dataset is a version of the&nbsp;Galvez et al. 2019 (A Machine-learning Data Set Prepared from the NASA Solar Dynamics Observatory Mission) dataset not corrected for degradation over time.</p> <p>This dataset is required to reproduce Fig.4 of Dos Santos et al. 2021 (arXiv: 2012.14023)</p> <p><br> This dataset contains extreme ultraviolet (EUV) images from the&nbsp;Atmospheric Image Assembly at the&nbsp;Solar Dynamics Observatory. The specs of the data are:</p> <ul> <li>Data from 2010 to 2020.&nbsp;</li> <li>Temporal resolution is 1&nbsp;day.</li> <li>Spatial resolution is ~4.8 arcsec (512 x 512 image)</li> <li>Images not corrected for instrumental degradation over time,</li> <li>Images&nbsp;corrected for exposure time.</li> <li>7 EUV channels.</li> <li>The total size of the data is ~22.1&nbsp;TB compressed.</li> </ul>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
8
Access
16
Reuse readiness
4
Engagement
4

Dataset details

Repository
zenodo
Published
January 9, 2021
License
cc-by-4.0
DOI
10.5281/zenodo.4430800

Scored with release 0.9.0

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