.Astronomy: dotastronomy.com ‘Dot-astronomy’ aims to bring together an international community of astronomy researchers, developers, educators and communicators to showcase and build upon web-based projects, from outreach and education to research tools and data analysis. #dotastronomy
ADS All-Sky Survey: adsass.org Astronomy Papers. On the Sky. Who studies what, when, how, and why? Funded by #NASA. #adsass
AstroBetter: astrobetter.com Tips and Tricks for Professional Astronomers. #astrobetter
Astronomical Medicine: am.iic.harvard.edu Trading tools between Astronomy and Medicine.
Astrometry.net: [astrometry.net] (http://astrometry.net) An astrometric calibration service to create correct, standards-compliant astrometric meta-data for every useful astronomical image ever taken, past and future.
astroML: astroML.org Python module for Machine Learning and Data Mining in Astronomy.
astropy: astropy A community effort to develop a single core package for Astronomy in Python and foster interoperability between Python astronomy packages. @astropy
Authorea: authorea.com A collaborative platform for research. Write and manage your technical documents in one place. #authorea, @authorea
Color Brewer: [colorbrewer2.org] (http://colorbrewer2.org) Color Advice for Cartography (and quantitative graphics more generally!) @ColorBrewer
D3: d3.js D3 is a JavaScript library for manipulating documents based on data.
d3po: d3po.org Linked views using d3, on the web. Import from Glue, Export to Authorea. #d3po
edX: edx.org Great online courses from the world's best universities. Harvard's courses at harvardx.harvard.edu #edX #HarvardX
Glue: glueviz.org Multidimensional data exploration. Linked Statistical Graphics. Flexible linking across data. Full scripting capability, in Python. #glueviz
Plotly: plot.ly Analyze and visualize data, together. Plotly is a collaborative data analysis and graphing tool. #plotly
Seamless Astronomy: [projects.iq.harvard.edu/seamlessastronomy] (http://projects.iq.harvard.edu/seamlessastronomy) Linking scientific data, publications, and communities. #seamlessastronomy
Virtual Observatory: usvao.org, www.ivoa.net, cdsportal.u-strasbg.fr Three points of access to official VO tools and infrastructure. #ivoa
WorldWide Telescope: worldwidetelescope.org A free Universe Information System from Microsoft Research. Immerse yourself in a seamless beautiful environment. #worldwidetelescope
WorldWide Telescope Ambassadors: wwtambassadors.org
WorldWide Telescope Ambassadors use the free WorldWide Telescope computer program to educate the public about Astronomy and Science. #wwtambassadors
yt: yt-project.org Open source, community-developed Analysis and Visualization of Astrophysical simulation data. @yt_astro
Zooniverse: zooniverse.org The Zooniverse is home to the internet's largest, most popular and most successful citizen science projects. @the_zooniverse
Many additional relevant (software) links can be found within these papers:
Scientific Visualization in Astronomy: Towards the Petascale Astronomy Era (Hassan & Fluke 2011): tinyurl.com/petastroviz Introduces a mapping between astronomical sources of data and data representations used in general-purpose visualization tools.
Principles of High-Dimensional Data Visualization in Astronomy (Goodman 2012): [tinyurl.com/datavizprinciples] (http://tinyurl.com/datavizprinciples) Charts a course toward ``linked view" systems, where multiple views of high-dimensional data sets update live as a researcher selects, highlights, or otherwise manipulates, one of several open views.
A New Approach to Developing Interactive Software Modules Through Graduate Education (Sanders, Faesi & Goodman 2013): [tinyurl.com/eduviz] (http://tinyurl.com/eduviz) Tests whether interactive, educational, online software modules can be developed effectively by students as a curriculum component of an advanced science course. (Answer is yes.)
Ten Simple Rules for the Care and Feeding of Scientific Data (Goodman et al. 2014): tinyurl.com/10simpledata This article offers a short guide to the steps scientists can take to ensure that their data and associated analyses continue to be of value and to be recognized.
Science you can play with (Pepe & Jenkins 2014): authorea.com/3904 Blog Post showing how to embed d3po (javascript) output and IPython Notebooks inside Authorea.