Dataset Open Access
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.6501642</identifier> <creators> <creator> <creatorName>Carvalho, Nuno Ramos</creatorName> <givenName>Nuno Ramos</givenName> <familyName>Carvalho</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-5270-2472</nameIdentifier> </creator> </creators> <titles> <title>SDSS Galaxy Subset</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2022</publicationYear> <subjects> <subject>sdss</subject> </subjects> <dates> <date dateType="Issued">2022-04-28</date> </dates> <resourceType resourceTypeGeneral="Dataset"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/6501642</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.6393487</relatedIdentifier> </relatedIdentifiers> <version>0.0.2</version> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>The&nbsp;<a href="https://www.sdss.org">Sloan Digital Sky Survey</a>&nbsp; (SDSS) is a comprehensive survey of the northern sky. This dataset contains a subset of this survey, of 60247&nbsp;objects classified as galaxies, it includes a CSV file with a collection of information and a set of files for each object, namely JPG image files, FITS and spectra data. This dataset is used to train and explore the&nbsp;<a href="https://github.com/nunorc/astromlp-models">astromlp-models</a>&nbsp;collection of deep learning models for galaxies characterisation.</p> <p>The dataset includes a CSV data file where each row is an object from the SDSS database, and with the following columns (note that some data may not be available for all objects):</p> <ul> <li><strong>objid</strong>: unique SDSS object identifier&nbsp;</li> <li><strong>mjd</strong>: MJD of observation</li> <li><strong>plate</strong>: plate identifier</li> <li><strong>tile</strong>: tile identifier</li> <li><strong>fiberid</strong>: fiber identifier</li> <li><strong>run</strong>: run number</li> <li><strong>rerun</strong>: rerun number</li> <li><strong>camcol</strong>: camera column</li> <li><strong>field</strong>: field number</li> <li><strong>ra</strong>: right ascension</li> <li><strong>dec</strong>: declination</li> <li><strong>class</strong>: spectroscopic class (only objetcs with GALAXY are included)</li> <li><strong>subclass</strong>: spectroscopic subclass</li> <li><strong>modelMag_u</strong>: better of DeV/Exp magnitude fit for band u</li> <li><strong>modelMag_g</strong>: better of DeV/Exp magnitude fit for band g</li> <li><strong>modelMag_r</strong>: better of DeV/Exp magnitude fit for band r</li> <li><strong>modelMag_i</strong>: better of DeV/Exp magnitude fit for band i</li> <li><strong>modelMag_z</strong>: better of DeV/Exp magnitude fit for band z</li> <li><strong>redshift</strong>: final redshift from SDSS data z</li> <li><strong>stellarmass</strong>: stellar mass extracted from the&nbsp;<a href="https://www.sdss.org/dr16/spectro/eboss-firefly-value-added-catalog">eBOSS Firefly catalog</a></li> <li><strong>w1mag</strong>: WISE W1 &quot;standard&quot; aperture magnitude</li> <li><strong>w2mag</strong>: WISE W2 &quot;standard&quot; aperture magnitude</li> <li><strong>w3mag</strong>: WISE W3 &quot;standard&quot; aperture magnitude</li> <li><strong>w4mag</strong>: WISE W4 &quot;standard&quot; aperture magnitude</li> <li><strong>gz2c_f</strong>: Galaxy Zoo 2 classification from&nbsp;<a href="https://academic.oup.com/mnras/article/435/4/2835/1022913">Willett et al 2013</a></li> <li><strong>gz2c_s</strong>: simplified version of Galaxy Zoo 2 classification (<a href="https://github.com/nunorc/astromlp-models#galaxy-zoo-2-simplified-classes-gz2c">labels set</a>)</li> </ul> <p>Besides the CSV file a set of directories are included in the dataset, in each directory you&#39;ll find a list of files named after the <strong>objid&nbsp;</strong>column from the CSV file, with the corresponding data, the following directories tree is&nbsp;available:</p> <pre><code class="language-bash">sdss-gs/ ├── data.csv ├── fits ├── img ├── spectra └── ssel</code></pre> <p>Where, each directory contains:</p> <ul> <li><strong>img</strong>: RGB images from the object in JPEG format, 150x150 pixels, generated using the&nbsp;<a href="https://skyserver.sdss.org/dr16/en/help/docs/api.aspx">SkyServer DR16 API</a></li> <li><strong>fits</strong>: FITS data subsets around the object across the u, g, r, i, z bands; cut is done using the&nbsp;<a href="https://github.com/jhoar/ImageCutter">ImageCutter</a>&nbsp;library</li> <li><strong>spectra</strong>: full best fit spectra data from SDSS between 4000 and 9000 wavelengths</li> <li><strong>ssel</strong>: best fit spectra data from SDSS for specific selected intervals of wavelengths discussed by&nbsp;<a href="https://arxiv.org/abs/1003.3186">S&aacute;nchez Almeida 2010</a></li> </ul> <p><strong>Changelog</strong></p> <ul> <li>v0.0.2&nbsp;- Increase number ob objects to ~60k..</li> <li>v0.0.1 - Initial import.</li> </ul></description> </descriptions> </resource>
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