Currently Available at MAST
The following surveys are currently available at MAST. For a summary of all SDSS surveys, see the table on the Introduction to SDSS Page.
Mapping Nearby Galaxies at Apache Point Observatory (MaNGA)
The MaNGA survey provides optical-wavelength integral field unit (IFU) spectroscopy of over 10,000 low-redshift galaxies (z<0.27). MaNGA data products include IFU data cubes, spatially stacked spectra, stellar kinematics, absorption and emission line measurements, and other properties for every galaxy in the sample.
Links:
Apache Point Observatory Galactic Evolution Experiment (APOGEE)
APOGEE is a high-resolution infrared spectroscopic survey of over 730,000 stars in the Milky Way and nearby satellites. APOGEE provides 1-D spectra and derived measurements including temperature, surface gravity, and 20 different elemental abundances.
Links:
Extended Baryonic Oscillation Spectroscopic Survey (eBOSS)
eBOSS is cosmological optical spectroscopic survey of providing spectra of nearly 4 million quasars and galaxies, also encompassing subprograms to survey variable objects and x-ray sources.
Links:
Coming Soon to MAST
The SDSS Legacy Archive is under active development. The surveys listed below will be coming to MAST in the near future. This list is not complete: more surveys and data products not listed here will be added over time. By the end of 2027, MAST will host all the final "science-ready" data products from the entirety of SDSS, from the original SDSS-I, up to SDSS-V. This will include images, spectra, catalogs and Value Added Catalogs (VACs) from all public SDSS data releases DR 1-22.
Sloan Digital Sky Survey Legacy Imaging (SDSS Imaging)
The SDSS Imaging survey provides wide-field imaging and ugriz photometry for 14,055 square degrees of sky.
Links:
- SDSS Imaging Archive Manual (Coming Soon)
User Support
For MAST user support, contact the HelpDesk: archive@stsci.edu. See the Archive Support page for details and other resources.
Citations and Acknowledgements
In publications, refer to this document as:
- MAST 2024, Sloan Legacy Archive Manual, eds. B. Cherinka, J. Imig (Baltimore: STScI)
Please acknowledge the use of data obtained from MAST in publications.
For SDSS-specific citation instructions, please refer to the relevant survey page in this archive manual or visit the SDSS Technical Publications page.