The Sloan Digital Sky Survey (SDSS) is a comprehensive survey of the northern sky. This dataset contains a subset of this survey, of 100077 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 astromlp-models collection of deep learning models for galaxies characterisation. 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): objid: unique SDSS object identifier mjd: MJD of observation plate: plate identifier tile: tile identifier fiberid: fiber identifier run: run number rerun: rerun number camcol: camera column field: field number ra: right ascension dec: declination class: spectroscopic class (only objetcs with GALAXY are included) subclass: spectroscopic subclass modelMag_u: better of DeV/Exp magnitude fit for band u modelMag_g: better of DeV/Exp magnitude fit for band g modelMag_r: better of DeV/Exp magnitude fit for band r modelMag_i: better of DeV/Exp magnitude fit for band i modelMag_z: better of DeV/Exp magnitude fit for band z redshift: final redshift from SDSS data z stellarmass: stellar mass extracted from the eBOSS Firefly catalog w1mag: WISE W1 "standard" aperture magnitude w2mag: WISE W2 "standard" aperture magnitude w3mag: WISE W3 "standard" aperture magnitude w4mag: WISE W4 "standard" aperture magnitude gz2c_f: Galaxy Zoo 2 classification from Willett et al 2013 gz2c_s: simplified version of Galaxy Zoo 2 classification (labels set) Besides the CSV file a set of directories are included in the dataset, in each directory you'll find a list of files named after the objid column from the CSV file, with the corresponding data, the following directories tree is available: sdss-gs/ ├── data.csv ├── fits ├── img ├── spectra └── ssel Where, each directory contains: img: RGB images from the object in JPEG format, 150x150 pixels, generated using the SkyServer DR16 API fits: FITS data subsets around the object across the u, g, r, i, z bands; cut is done using the ImageCutter library spectra: full best fit spectra data from SDSS between 4000 and 9000 wavelengths ssel: best fit spectra data from SDSS for specific selected intervals of wavelengths discussed by Sánchez Almeida 2010 Changelog v0.0.4 - Increase number of objects to ~100k. v0.0.3 - Increase number of objects to ~80k. v0.0.2 - Increase number of objects to ~60k. v0.0.1 - Initial import.