Many types of non-gridded data are stored in database managementsystems (DBMS). Examples would include oceanographic and atmosphericbottle data and profiles. Often, data sampled at unique locations are stored asindividual records (rows) in a table in the DBMS.
To be recoverablethrough LAS, a database must be able to deliver at least longitude, latitude, time,depth/height (where necessary) and columns for each variable measured.Missing values should be designated with a floating point number andyou should use the same missing value flag for all variables.
LAS uses the Velocity templating language to create database queries from user generated LASRequests so the precise structure of your database tables is left up to you. See the instructions on templating SQL commands for more information on using the Velocity templating language to create your database queries.