.. sectionauthor:: Robert Nikutta *Version: 20250305* .. index:: pair: panel; left pair: panel; data sources pair: panel; right pair: panel; information pair: panel; middle pair: panel; tools pair: panel; bottom pair: panel; status .. _sec_WebPortalOverview: ******************* Web Portal overview ******************* The Astro Data Lab Web Portal provides a number of features: - The Data Explorer link takes you to the integrated :ref:`Data Explorer ` application, where users can query the many catalogs hosted by Data Lab, search for image cutouts, upload their your own data tables, cross-match tables by coordinates, and much more. - Data Releases. This link will open a drop down menu which displays all the surveys that are currently hosted by the Data Lab broken up into NOIRLab Surveys, Gemini Large and Long Programs (LLP), and External Surveys. Clicking on any of the data sets will take you to its landing page which contains a description about the data, how to access the data, and references. .. figure:: datareleases.png :width: 100 % :alt: Data releases menu - Docs. This drop-down menu contains learning and support resources: the Data Lab user manual, Data Lab Python client documentation, SPARCL documentation, and Survey Data Requirements (for teams publishing survey datasets through Data Lab). .. figure:: docs.png :width: 100 % :alt: Documentation menu - News. This will take you to our News page which contains recent announcements made by the Data Lab, the Data Lab newsletters, and information about events and workshops attended or led by the Data Lab team. - The GitHub link will take you to the `Data Lab GitHub repositories `_. From there you can view the source code of tools developed by the Data Lab team, create issues if you find a problem with the code, and even contribute code (Pull Requests are welcome!) You can also view our expansive collection of `Jupyter notebook examples `_ here. - The Support link leads to the `Data Lab User Forum `_ where you can ask questions to the Data Lab team and other users. You can search through previously asked questions and upvote/downvote questions. - Launch Notebook. This link will open the `Data Lab Jupyter Notebook server `_. It contains all tools and Python packages needed for your astronomy research, and your account features the entire collection of Data Lab's example notebooks, preloaded on this notebook server. - "Sign In" section. This either shows a "Sign In" button or your user name, depending on whether or not you are already signed in. Like the name suggests, clicking on "Sign In" will take you to the sign in page. And if it says your username, clicking on it will present your account information, and the option to log out. - Finally, "Systems Online" in the upper right corner indicates whether all critical systems at Data Lab are working correctly. If you experience failures or unusual behaviors, it's good to give the system status a quick first look.