This section is dedicated to the analysis and visualization of data obtained through passive acoustic monitoring. Here you can view the intra- and inter-seasonal dynamics of detections of various animal species and explore their daily activity.This section is dedicated to the analysis and visualization of data obtained through passive acoustic monitoring. Here you can view the within- and between-season dynamics of detections of various animal species and examine their daily activity.

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Study of Fauna Using PAM Methods

• General dynamic table with the list of species

  🔊 Ranked table of species by the number of automatic detections using the BirdNET algorithm.Ranked table of species by the number of automatic detections using the BirdNET algorithm.

• Detailed species-by-species analysis

  🔊 Interactive graphs and map for a specific species. As in the general table, data from automatic species classification based on the BirdNET algorithm was used.Interactive graphs and map for a specific species. As in the general table, data from automatic species classification based on the BirdNET algorithm was used.

• Analysis of multiyear trends

  🔊 Interannual detection trends and seasonal species activity aggregated by months.Interannual detection trends and seasonal species activity aggregated by months.

• Interannual comparison table

  🔊 Interannual dynamic comparison table showing the normalized number of species detections (per 24 hours of recordings)Interannual dynamic comparison table showing the normalized number of species detections (per 24 hours of recordings)

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BirdNET Classification Verification

• Accuracy Assessment Results

  📈 View accuracy metrics (precision, recall, F1) for different species based on verified data.View accuracy metrics (precision, recall, F1) for different species based on verified data.