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Abram Fleishman
Jun 12, 2024
In Device Support
We are dealing with large deployments of audio moth sensors using triggered recordings for bats. Some projects have 100+ sensors deployed several times over the season. We are looking for a more efficient method of expanding twavs, ideally via a CLI tool. Currently we expand files on a subfolder bases (by sensor/deployment) because if there are issues expanding it is hard to figure out what folder a error came from. Is there a tool that is available or can easily be scripted to be able to script twav expansion? Ideally, multithreaded?
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Abram Fleishman
Apr 25, 2024
In Device Support
We just encountered a handful of files from the the beginning of a deployment that seem to be corrupt. There were many working normal files recorded before these so it seems strange. but then there are tons of files that are normal afterwards as well. I have attached a few examples here in the zip. The files are consecutive and seem to be limited to 1 day, so not a big data loss but curious if anyone can help diagnose what happened? them here (I think...).
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Abram Fleishman
Mar 19, 2019
In Device Support
We are getting ready to deploy audiomoths for a project in central California to record in the sonic range (sample rate 48 kHz) and have just start to test a few of the units and I have noticed a lot of self noise. Has anyone figured out how to minimize this noise? These units were deployed in Tupperware cases with a goretex cloth sicker over a 15/64" hole. they had the three internal batteries installed ( Duracell AA 1.5V, new, Alkaline). AudioMoth 1.0.0 with the 1.2.0 firmware. We have two models of SD card: SanDisk mobile Ultra 32gd microSD HC I and SanDisk 32gd microSD HC class 2. We put three devices out with gain set at 0, 2 and 4. all three recorded and biological sounds were audible and visible on the spectrograms but there was also a lot of self noise on each (slightly different types of which I have provided examples of two of the devices below). (updated)
Ideas for minimizing self noise? content media
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Abram Fleishman

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