The data for the files in this directory were downloaded from the following FCC ULS web page...
https://www.fcc.gov/uls/transactions/daily-weekly

The files in this directory were current as of...
2026-05-03 17:41:30

The R source code that generated these files is located at...
https://github.com/wsphd/fcculs

A few SoCal county-level .csv files can be loaded directly into a spreadsheet such as LibreOffice or Excel.
The others will need to be read into a database such as Sqlite or DuckDB, or read from a language such as R, Python, or Julia.
Searching or filtering can be done in a database script or a language script.  Output can be, among other things, a smaller .csv file that could be loaded into a spreadsheet.

The .zip files will need to be upzipped before use and then read by a database or a language.

The .parquet files will need to be accessed via a language such as R, Python, or Julia before use.
The 'arrow' package is for R, the 'pandas' package for Python reads .parquet files, and 'Parquet.jl' can be used with Julia.

Enjoy,

Wayne Smith, Ph.D.
N6LHV (email: n6lhv@arrl.net)
Southern California Monitoring Association (SCMA) (https://socalscanner.com/)