Bird species classifications from Munich-Laim: Expert vs. BirdNET (multi-parameter) results

This dataset contains expert annotations and BirdNET-generated species detections from one-minute audio recordings collected at a single urban site in Laim, Munich, Germany, between May and October 2021. Recordings were made in timed intervals during the early morning hours to focus on peak bird vocal activity, resulting in 15.5 hours of audio from 60 recording days. Each recording was manually reviewed by two experienced ornithologists for bird vocalisations, and the same audio was processed using BirdNET-Analyzer (v2.2, April 2023) across a range of parameter combinations, including variations in sensitivity, overlap, week of year, and confidence threshold. The dataset includes raw BirdNET outputs for all parameter combinations as well as expert-verified species lists for each clip.,
Acoustic recordings
Between May and October 2021, we deployed a single Frontier Labs BAR recorder on the roof of a residential building in Munich, Laim, Germany. Recordings were made in week-long sessions, with at least a one-week break between each session. During each session, the recorder was programmed to capture one-minute clips every ten minutes, starting two hours before sunrise and continuing until three hours after sunrise. All recordings were made at 48 kHz sampling rate, 16-bit depth, and with a gain setting of 40 dB.

Species Identification
Two experienced ornithologists reviewed each one-minute clip to identify bird vocalisations, either by listening or by inspecting the spectrograms. This was done using Wildlife Acoustics Kaleidoscope Pro (version 5.6.8), with default settings (FFT size: 256, Window size: 128, Max cache: 256 MB). Each recording was then annotated with the species present. In addition, we processed the same audio files using BirdNET-Analyzer (April 2023 re..., # Bird Detection Data

This dataset contains expert annotations and BirdNET-generated species detections from one-minute audio recordings collected at a single urban site in Laim, Munich, Germany, between May and October 2021. Recordings were made in timed intervals during the early morning hours to focus on peak bird vocal activity, resulting in 15.5 hours of audio from 60 recording days. Each recording was manually reviewed by two experienced ornithologists for bird vocalisations, and the same audio was processed using BirdNET-Analyzer (v2.2, April 2023) across a range of parameter combinations, including variations in sensitivity, overlap, week of year, and confidence threshold. The dataset includes raw BirdNET outputs for all parameter combinations as well as expert-verified species lists for each clip and the confirmed detections for the best result.

## Files

### `birdnet.csv`

Automated bird species identification results generated by BirdNET software.

**Columns:**

* `filename...,