Lock-in amplifier data collected using Python instrument control suite of Bluesky and instrbuilder

The archived data 'data_figshare.zip' produces figures 3-9 of the paper under review. Data includes .sqlite databases for each run, .json files that describe run starts, run stops, and events. An archive of numpy archives ('numpy_arrays.zip') that store captured time sequences (arrays) is also included, but is a much larger file and is only needed if modified post processing is to be applied on the ADA2200 data. <br>See acquisition and analysis code for more details including information on how to configure databroker to run the analysis code. The attached local_file.yml should be placed into ~/.config/databroker/ and the placeholder 'your_directory' must be modified to point to the data_figshare directory.<br>https://github.com/lucask07/instrbuilder/tree/master/instrbuilder/bluesky_demo/lockin_analysis<br><br>(no legal or ethical requirements)