Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.