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Galaxy Zoo: morphologies derived from visual inspection of galaxies from the Sloan Digital Sky Survey
In order to understand the formation and subsequent evolution of galaxies one must first distinguish between the two main morphological classes of massive systems: spirals and early-type systems.Expand
LSST: From Science Drivers to Reference Design and Anticipated Data Products
The LSST design is driven by four main science themes: probing dark energy and dark matter, taking an inventory of the solar system, exploring the transient optical sky, and mapping the Milky Way. Expand
Galaxy Zoo Green Peas: discovery of a class of compact extremely star-forming galaxies
We investigate a class of rapidly growing emission line galaxies, known as “Green Peas,” first noted by volunteers in the Galaxy Zoo project because of their peculiar bright green colour and smallExpand
The green valley is a red herring: Galaxy Zoo reveals two evolutionary pathways towards quenching of star formation in early-and late-type galaxies
We use SDSS+GALEX+Galaxy Zoo data to study the quenching of star formation in low-redshift galaxies. We show that the green valley between the blue cloud of star-forming galaxies and the red sequenceExpand
Galaxy Zoo 1: data release of morphological classifications for nearly 900 000 galaxies
Morphology is a powerful indicator of a galaxy’s dynamical and merger history. It is strongly correlated with many physical parameters, including mass, star formation history and the distribution ofExpand
Galaxy Zoo: Exploring the Motivations of Citizen Science Volunteers.
The Galaxy Zoo citizen science website invites anyone with an Internet connection to participate in research by classifying galaxies from the Sloan Digital Sky Survey. As of April 2009, more thanExpand
Galaxy Zoo 2: detailed morphological classifications for 304,122 galaxies from the Sloan Digital Sky Survey
We present the data release for Galaxy Zoo 2 (GZ2), a citizen science project with more than 16 million morphological classifications of 304 122 galaxies drawn from the Sloan Digital Sky SurveyExpand
Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna
This work deployed 225 camera traps across Serengeti National Park, Tanzania, to evaluate spatial and temporal inter-species dynamics and classified the images via the citizen-science website www.snapshotsereNGeti.org, yielding a final classification for each image and a measure of agreement among individual answers. Expand
Galaxy Zoo: the dependence of morphology and colour on environment
We analyse the relationships between galaxy morphology, colour, environment and stellar mass using data for over 105 objects from Galaxy Zoo, the largest sample of visually classified morphologiesExpand
The Milky Way Project First Data Release: a bubblier Galactic disc
We present a new catalogue of 5106 infrared bubbles created through visual classification via the online citizen science website ‘The Milky Way Project’. Bubbles in the new catalogue have beenExpand