SoMiRiver: acoustic, vibration, and video recordings from an artificial channel

Published: 9 September 2026| Version 3 | DOI: 10.17632/bkw4d48z2p.3
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Description

A total of 107 experiments were conducted in the artificial channels under different hydraulic conditions, with synchronized acquisition of acoustic, vibration, and video data. The dataset is organized into four main directories: 1_no_vibration, 2_vibration, 3_stone_impact, and 4_signals_tests. The first three correspond to the evaluated flow conditions, whereas 4_signals_tests contains seven sensor validation experiments performed without water flow and, therefore, does not include video files. Each subfolder represents a single experiment and follows a naming convention that encodes the flow condition (no vibration=L, vibration=M, or stone impact=V), flume type (fixed =F or variable=V slope), channel slope in degrees, flow rate, and experiment number. There are nine flow rate levels, which correspond to: 0.25, 0.50, 1.25, 2.0, 2.25, 2.5, 3.3, 4.0, and 6.0 l/s; the assigned values correspond to the letters A through I, where A refers to 0.25 l/s and I refers to 6 l/s. For example, V_F_11_H_02 identifies the second experiment (02) performed under very high flow conditions with stone impact (V) in the fixed-slope (F) with inclination of 11° and flow rate of 4.0 L/s (H). Each subfolder contains six files corresponding to a single experiment: i) A 5.5-second WAV audio files, monophonic audio, with a sampling frequency of 11,025 Hz and 16-bit resolution, one WAV file containing subaerial audio recorded with the PC microphone. ii) A 5.5-second WAV audio files, monophonic audio, with a sampling frequency of 11,025 Hz and 16-bit resolution. The WAV file containing underwater acoustic recordings. An underwater microphone was used under low- and medium-to-high-flow conditions, whereas a hydrophone was used under very-high-flow conditions. iii) A CSV file containing 10,000 samples from a low-resolution microphone, acquired using a 12-bit A/ D converter with a sampling rate of 1,850 Hz. iv) A CSV file containing 1,000 vibration samples recorded using a 12-bit accelerometer with a sampling rate of 185 Hz, where both CSV files represent approximately 5.4 seconds of acquisition. v) An MP4 video with an approximate duration of 5.5 seconds, recorded at 30 frames per second (fps), with a frame width of 680 pixels and a frame height of 480 pixels. The video has a data rate of 2,701 kbps. The audio track is mono, sampled at 48 kHz, with a bit rate of 127 kbps. vi) A WAV audio track extracted from the MP4 video.

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Steps to reproduce

Mountain rivers are vulnerable to flash floods and torrential floods, yet multimodal datasets describing their acoustic and vibrational signatures remain limited. To address this gap, we developed the SoMiRiver dataset, comprising 107 controlled experiments conducted in artificial fixed- and variable-slope flumes in Pasto, southwestern Colombia. It integrates subaerial and underwater acoustic recordings, three-axis vibration measurements, and video recordings, providing complementary information on hydraulic conditions and sediment–rock interactions. The data include WAV, CSV, and MP4 files acquired at different sampling rates and resolutions. An artificial fixed-slope flume with an incline of 11°, was constructed, equipped with a feed tank with a capacity of 250 L, three 2 ½-inch valves, a discharge tank, and a hydraulic pump responsible for recirculating water from the discharge tank to the feed tank, allowing for control of flow conditions during the experiments. Additionally, a microcontroller-based data acquisition board and a desktop application were developed to synchronously record the various types of data generated in the channel. The system captures above-ground sound using a personal computer microphone, underwater sound with an underwater microphone, vibration signals using a triaxial accelerometer, low-sampling-rate above-ground sound, and a video of each experiment. The signal measurements are stored in a relational database.

Institutions

Categories

Hydrology, Hydrologic Engineering

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