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Science 8 July 2011: Vol. 333 no. 6039 pp. 173-175 Galaxy Zoo Volunteers Share Pain and Glory of Research 1. Daniel Clery A project to "crowdsource" galactic classifications has paid off in ways the astronomers who started it never expected. Figure View larger version: * In this page * In a new window Space oddity. Greenish "voorwerp" spotted by a Dutch volunteer still intrigues scientists. "CREDIT: NASA, ESA, W. KEEL (UNIVERSITY OF ALABAMA), AND THE GALAXY ZOO TEAM" The automated surveys that are becoming increasingly common in astronomy are producing an embarrassment of riches for researchers. Projects such as the Sloan Digital Sky Survey (SDSS) are generating so much data that, in some cases, astronomers don't know what to do with them all. SDSS has compiled a list of more than 1 million galaxies. To glean information about galaxy evolution, however, astronomers need to know what type of galaxy each one is: spiral, barred spiral, elliptical, or something else. At present, the only reliable way to classify galaxies is to look at each one. But the SDSS list is so long that all the world's astronomers working together couldn't muster enough eyeballs for the task. Enter the "wisdom of crowds." An online effort called Galaxy Zoo, launched in 2007, set a standard for citizen-scientist participation projects. Zealous volunteers astonished the project's organizers by classifying the entire catalog years ahead of schedule. The results have brought real statistical rigor to a field used to samples too small to support firm conclusions. But that's not all. Buoyed by the curiosity and dedication of the volunteers, the Galaxy Zoo team went on to ask more-complicated classification questions that led to studies they hadn't thought possible. And in an online discussion forum on the Galaxy Zoo Web site, volunteers have pointed to anomalies that on closer inspection have turned out to be genuinely new astronomical objects. "I'm incredibly impres

1 The carbon dioxide system in seawater: equilibrium chemistry and measurements 1.1 Introduction 1.2 Basic chemistry of carbon dioxide in seawater 1.3 The definition and measurement of pH in seawater 1.4 Implications of other acid-base equilibria in seawater on seawater alkalinity 1.5 Choosing the appropriate measurement techniques 1.6 Conclusions and recommendations 2 Approaches and tools to manipulate the carbonate chemistry 3 Atmospheric CO2 targets for ocean acidification perturbation experiments 4 Designing ocean acidification experiments to maximise inference 5 Bioassays, batch culture and chemostat experimentation 6 Pelagic mesocosms 7 Laboratory experiments and benthic mesocosm studies 8 In situ perturbation experiments: natural venting sites, spatial/temporal gradients in ocean pH, manipulative in situ p(CO2) perturbations 9 Studies of acid-base status and regulation 9.1 Introduction 9.2 Fundamentals of acid-base regulation 9.3 Measurement of pH, total CO2 and non-bicarbonate buffer values 9.4 Compartmental measurements: towards a quantitative picture 9.5 Overall suggestions for improvements 10 Studies of metabolic rate and other characters across life stages 10.1 Introduction 10.2 Definition of a frame of reference: studying specific characters across life stages 10.3 Approaches and methodologies: metabolic studies 10.4 Study of early life stages 10.5 Techniques for oxygen analyses 10.6 Overall suggestions for improvements 10.7 Data reporting 10.8 Recommendations for standards and guidelines 11 Production and export of organic matter 12 Direct measurements of calcification rates in planktonic organisms 13 Measurements of calcification and dissolution of benthic organisms and communities 14 Modelling considerations 15 Safeguarding and sharing ocean acidification data 15.1 Introduction 15.2 Sharing ocean acidification data 15.3 Safeguarding ocean acidification data 15.4 Harmonising ocean acidification data and metadata 15.5 Disseminating ocean