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Space Telescope Science Institute

The Space Telescope Science Institute (STScI) is operated by the Association of Universities for Research in Astronomy (AURA) to help humanity explore the universe with advanced space telescopes and ever-growing data archives. We have performed science operations for the Hubble Space Telescope (HST) since its launch in 1990, and we lead the science and mission operations for the James Webb Space Telescope (JWST), launched in 2021. We are the Science Operations Center for the Nancy Grace Roman Space Telescope (Roman), and we are partners on several other NASA missions. We host the Barbara A. Mikulski Archive for Space Telescopes (MAST), which curates and disseminates data from over 20 astronomical missions. We bring science to the world through internationally recognized news, education, and public outreach programs. With the datasets hosted through the AWS Public Dataset Program, we aim to allow the astronomical community to conduct research that will lead to new scientific discoveries.


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If you want to add a dataset or example of how to use a dataset to this registry, please follow the instructions on the Registry of Open Data on AWS GitHub repository.

Unless specifically stated in the applicable dataset documentation, datasets available through the Registry of Open Data on AWS are not provided and maintained by AWS. Datasets are provided and maintained by a variety of third parties under a variety of licenses. Please check dataset licenses and related documentation to determine if a dataset may be used for your application.


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James Webb Space Telescope (JWST)

astronomy

The James Webb Space Telescope (JWST) is the world's next flagship infrared observatory led by NASA with its partners, ESA (European Space Agency), and CSA (Canadian Space Agency). JWST offers scientists the opportunity to observe galaxy evolution, the formation of stars and planets, exoplanetary systems, and our own solar system, in ways never before possible.

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Usage examples

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Transiting Exoplanet Survey Satellite (TESS)

astronomy

The Transiting Exoplanet Survey Satellite (TESS) is a multi-year survey that has discovered exoplanets in orbit around bright stars across the entire sky using high-precision photometry. The survey also enables a wide variety of stellar astrophysics, solar system science, and extragalactic variability studies. More information about TESS is available at MAST and the TESS Science Support Center.

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Usage examples

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Galaxy Evolution Explorer Satellite (GALEX)

astronomy

The Galaxy Evolution Explorer Satellite (GALEX) was a NASA mission led by the California Institute of Technology, whose primary goal was to investigate how star formation in galaxies evolved from the early universe up to the present. GALEX used microchannel plate detectors to obtain direct images in the near-UV (NUV) and far-UV (FUV), and a grism to disperse light for low resolution spectroscopy.

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Hubble Space Telescope

astronomy

The Hubble Space Telescope (HST) is one of the most productive scientific instruments ever created. This dataset contains calibrated and raw data for all currently active instruments on HST: ACS, COS, STIS, WFC3, and FGS.

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K2 Mission Data

astronomy

The K2 mission observed 100 square degrees for 80 days each across 20 different pointings along the ecliptic, collecting high-precision photometry for a selection of targets within each field. The mission began when the original Kepler mission ended due to loss of the second reaction wheel in 2013.

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Kepler Mission Data

astronomy

The Kepler mission observed the brightness of more than 180,000 stars near the Cygnus constellation at a 30 minute cadence for 4 years in order to find transiting exoplanets, study variable stars, and find eclipsing binaries.

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Pan-STARRS PS1 Survey

astronomy

The PS1 surveys used a 1.8 meter telescope and its 1.4 Gigapixel camera to image the sky in five broadband filters. The largest of these surveys provides coverage of the entire sky north of -30 degrees declination, with approximately 10 observation epochs across 3 years in each filter.

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