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<p>This paper describes an acoustic dataset collected on a frozen shallow freshwater lake between February and March of 2024. This collection took place over one full week on Portage Lake in the Upper Peninsula of Michigan, USA. The first sub-dataset consists of ambient ice and environmental noises collected by an array of hydrophones, microphones and geophones placed below, above and on the ice respectively. The second sub-dataset consists of instrumented force hammer impacts at a series of locations on the the ice with the corresponding response at each acoustic sensor. All acoustic data were recorded at a sample rate <i>f</i><sub><i>s</i></sub>&#xa0;=&#xa0;51,&#xa0;200 Hz. Corresponding local weather data is also provided. This dataset offer a rich look into the physics of ice cover, response to weather phenomena, and shallow water and ice cover waveguide acoustic propagation. The datasets consist of time series data from all sensors, array dimensions, array placement and hardware descriptions.</p>

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An ambient acoustic ice-fracturing dataset taken in shallow freshwater

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年3月11日

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  • John Case,
  • Andrew Barnard,
  • Daniel Brown

摘要

This paper describes an acoustic dataset collected on a frozen shallow freshwater lake between February and March of 2024. This collection took place over one full week on Portage Lake in the Upper Peninsula of Michigan, USA. The first sub-dataset consists of ambient ice and environmental noises collected by an array of hydrophones, microphones and geophones placed below, above and on the ice respectively. The second sub-dataset consists of instrumented force hammer impacts at a series of locations on the the ice with the corresponding response at each acoustic sensor. All acoustic data were recorded at a sample rate fs = 51, 200 Hz. Corresponding local weather data is also provided. This dataset offer a rich look into the physics of ice cover, response to weather phenomena, and shallow water and ice cover waveguide acoustic propagation. The datasets consist of time series data from all sensors, array dimensions, array placement and hardware descriptions.