The main purpose of PIT Data Filter is, as the name says, to filter telemetry data. Additionally, Filter cleans out corrupted data entries, merges multiple data files together and standardizes data from various antenna systems to a common format.
PIT tag data files often have surprisingly many unnecessary and repetitive rows. For example, consecutive rows for the same PIT tag at the same antenna during the same time unit are simply waste. PIT Data Filter allows you to pick the time accuracy to use and between a few different filtering modes.
Quick run of the features
Keep data safe
PIT Data never overwrites anything without asking you first. You will always retain the original data files for future backup since Filter writes its output to a file separate from the inputs.
Our users often see their dataset size drop even 98 % when run through Filter. No compression is used, the data is just as readable as originally (if not more). Filter simply gets rid of all the stuff you don't need.
multiple data files together: Data from a single experiment often ends up scattered across a number of files. Filter puts them back together.
Even rare corrupted data rows may produce weird effects in further analyses. This is why PIT Data Filter automatically detects and removes corrupted data rows.
Control detail level
You can ask Filter to retain all details from each second or from each minute. Depending on what you are doing with the data, this can really help get rid excessive noise. Filter never removes information of a tag moving between antennas by default, but you can make it remove rapid A-B-A type movements as well.
Handle multiple data formats
PIT Data in general and Filter are capable of automatically detecting and handling both Allflex and Tiris (Texas Instruments) tag readers, with or without using multiplexers. Filter can even pick up your multiplexer information from filenames, this becomes useful with over 8 multiplexers running Tiris DataLogger.
Filter standardizes all data it receives to a common format, making further analyses with or without PIT Data more straightforward.