This record represents humpback whale sound production detected from raw passive acoustic data.All continuous acoustic data were divided into 30 s wav file subsamples and processed using a machine learning humpback whale detector model developed and provided by Google (GoogleAI; Matt Harvey). The presence of humpback whale song is scored by the model and, compared to a choosen threshold, was assigned a binary 0/1 designation indicating absence (0) or presence (1). The percentage of files with humpback whale presence per hour was calculated.These data were recorded at SanctSound Site HI01_01 between November 30, 2018 and March 31, 2019.

This record represents humpback whale sound production detected from raw passive acoustic data.All continuous acoustic data were divided into 30 s wav file subsamples and processed using a machine learning humpback whale detector model developed and provided by Google (GoogleAI; Matt Harvey). The presence of humpback whale song is scored by the model and, compared to a choosen threshold, was assigned a binary 0/1 designation indicating absence (0) or presence (1). The percentage of files with humpback whale presence per hour was calculated.These data were recorded at SanctSound Site HI03_02 between December 01, 2019 and June 02, 2020.

This record represents humpback whale sound production detected from raw passive acoustic data.All continuous acoustic data were divided into 30 s wav file subsamples and processed using a machine learning humpback whale detector model developed and provided by Google (GoogleAI; Matt Harvey). The presence of humpback whale song is scored by the model and, compared to a choosen threshold, was assigned a binary 0/1 designation indicating absence (0) or presence (1). The percentage of files with humpback whale presence per hour was calculated.These data were recorded at SanctSound Site HI01_02 between December 01, 2019 and April 11, 2020.

This record represents humpback whale sound production detected from raw passive acoustic data.All continuous acoustic data were divided into 30 s wav file subsamples and processed using a machine learning humpback whale detector model developed and provided by Google (GoogleAI; Matt Harvey). The presence of humpback whale song is scored by the model and, compared to a choosen threshold, was assigned a binary 0/1 designation indicating absence (0) or presence (1). The percentage of files with humpback whale presence per hour was calculated.These data were recorded at SanctSound Site HI06_02 between November 30, 2020 and May 12, 2021.

This record represents humpback whale sound production detected from raw passive acoustic data. All continuous acoustic data were divided into 30 s wav file subsamples and processed using a machine learning humpback whale detector model developed and provided by Google (GoogleAI; Matt Harvey). The presence of humpback whale song is scored by the model and, compared to a choosen threshold, was assigned a binary 0/1 designation indicating absence (0) or presence (1). The percentage of files with humpback whale presence per hour was calculated.These data were recorded at SanctSound Site PM02_01 between October 01, 2019 and June 01, 2020.

This record represents humpback whale sound production detected from raw passive acoustic data.All continuous acoustic data were divided into 30 s wav file subsamples and processed using a machine learning humpback whale detector model developed and provided by Google (GoogleAI; Matt Harvey). The presence of humpback whale song is scored by the model and, compared to a choosen threshold, was assigned a binary 0/1 designation indicating absence (0) or presence (1). The percentage of files with humpback whale presence per hour was calculated.These data were recorded at SanctSound Site HI05_01 between December 19, 2018 and January 07, 2019.

This record represents humpback whale sound production detected from raw passive acoustic data.All continuous acoustic data were divided into 30 s wav file subsamples and processed using a machine learning humpback whale detector model developed and provided by Google (GoogleAI; Matt Harvey). The presence of humpback whale song is scored by the model and, compared to a choosen threshold, was assigned a binary 0/1 designation indicating absence (0) or presence (1). The percentage of files with humpback whale presence per hour was calculated.These data were recorded at SanctSound Site HI04_03 between December 01, 2020 and June 12, 2021.

This record represents humpback whale sound production detected from raw passive acoustic data.All continuous acoustic data were divided into 30 s wav file subsamples and processed using a machine learning humpback whale detector model developed and provided by Google (GoogleAI; Matt Harvey). The presence of humpback whale song is scored by the model and, compared to a choosen threshold, was assigned a binary 0/1 designation indicating absence (0) or presence (1). The percentage of files with humpback whale presence per hour was calculated.These data were recorded at SanctSound Site HI04_02 between December 01, 2019 and May 11, 2020.

This record represents humpback whale sound production detected from raw passive acoustic data. All continuous acoustic data were divided into 30 s wav file subsamples and processed using a machine learning humpback whale detector model developed and provided by Google (GoogleAI; Matt Harvey). The presence of humpback whale song is scored by the model and, compared to a choosen threshold, was assigned a binary 0/1 designation indicating absence (0) or presence (1). The percentage of files with humpback whale presence per hour was calculated.These data were recorded at SanctSound Site PM02_02 between October 01, 2020 and July 10, 2021.

This record represents humpback whale sound production detected from raw passive acoustic data. All continuous acoustic data were divided into 30 s wav file subsamples and processed using a machine learning humpback whale detector model developed and provided by Google (GoogleAI; Matt Harvey). The presence of humpback whale song is scored by the model and, compared to a choosen threshold, was assigned a binary 0/1 designation indicating absence (0) or presence (1). The percentage of files with humpback whale presence per hour was calculated.These data were recorded at SanctSound Site PM01_01 between March 31, 2020 and June 05, 2020.

This record represents humpback whale sound production detected from raw passive acoustic data. All continuous acoustic data were divided into 30 s wav file subsamples and processed using a machine learning humpback whale detector model developed and provided by Google (GoogleAI; Matt Harvey). The presence of humpback whale song is scored by the model and, compared to a choosen threshold, was assigned a binary 0/1 designation indicating absence (0) or presence (1). The percentage of files with humpback whale presence per hour was calculated.These data were recorded at SanctSound Site PM01_02 between October 01, 2020 and July 09, 2021.

This record represents humpback whale sound production detected from raw passive acoustic data.All continuous acoustic data were divided into 30 s wav file subsamples and processed using a machine learning humpback whale detector model developed and provided by Google (GoogleAI; Matt Harvey). The presence of humpback whale song is scored by the model and, compared to a choosen threshold, was assigned a binary 0/1 designation indicating absence (0) or presence (1). The percentage of files with humpback whale presence per hour was calculated.These data were recorded at SanctSound Site HI03_01 between December 17, 2018 and January 19, 2019.

This record represents humpback whale sound production detected from raw passive acoustic data.All continuous acoustic data were divided into 30 s wav file subsamples and processed using a machine learning humpback whale detector model developed and provided by Google (GoogleAI; Matt Harvey). The presence of humpback whale song is scored by the model and, compared to a choosen threshold, was assigned a binary 0/1 designation indicating absence (0) or presence (1). The percentage of files with humpback whale presence per hour was calculated.These data were recorded at SanctSound Site HI01_03 between November 30, 2020 and January 18, 2021.

This record represents humpback whale sound production detected from raw passive acoustic data.All continuous acoustic data were divided into 30 s wav file subsamples and processed using a machine learning humpback whale detector model developed and provided by Google (GoogleAI; Matt Harvey). The presence of humpback whale song is scored by the model and, compared to a choosen threshold, was assigned a binary 0/1 designation indicating absence (0) or presence (1). The percentage of files with humpback whale presence per hour was calculated.These data were recorded at SanctSound Site HI04_01 between November 25, 2018 and February 01, 2019.

This record represents humpback whale sound production detected from raw passive acoustic data.All continuous acoustic data were divided into 30 s wav file subsamples and processed using a machine learning humpback whale detector model developed and provided by Google (GoogleAI; Matt Harvey). The presence of humpback whale song is scored by the model and, compared to a choosen threshold, was assigned a binary 0/1 designation indicating absence (0) or presence (1). The percentage of files with humpback whale presence per hour was calculated.These data were recorded at SanctSound Site HI03_03 between November 30, 2020 and May 07, 2021.

This record represents humpback whale sound production detected from raw passive acoustic data. All continuous acoustic data were divided into 30 s wav file subsamples and processed using a machine learning humpback whale detector model developed and provided by Google (GoogleAI; Matt Harvey). The presence of humpback whale song is scored by the model and, compared to a choosen threshold, was assigned a binary 0/1 designation indicating absence (0) or presence (1). The percentage of files with humpback whale presence per hour was calculated.These data were recorded at SanctSound Site PM05_01 between October 01, 2019 and June 13, 2020.

This record represents humpback whale sound production detected from raw passive acoustic data. All continuous acoustic data were divided into 75 s wav file subsamples and processed using a machine learning humpback whale detector model developed and provided by Google (GoogleAI; Matt Harvey). The presence of humpback whale song is scored by the model and, compared to a choosen threshold, was assigned a binary 0/1 designation indicating absence (0) or presence (1). The percentage of 75 s periods with humpback whale presence per hour was calculated.These data were recorded at SanctSound Site PM08_13 between August 26, 2019 and August 22, 2020.

This record represents humpback whale sound production detected from raw passive acoustic data.All continuous acoustic data were divided into 30 s wav file subsamples and processed using a machine learning humpback whale detector model developed and provided by Google (GoogleAI; Matt Harvey). The presence of humpback whale song is scored by the model and, compared to a choosen threshold, was assigned a binary 0/1 designation indicating absence (0) or presence (1). The percentage of files with humpback whale presence per hour was calculated.These data were recorded at SanctSound Site PM08_12 between October 15, 2018 and June 10, 2019.

This record represents humpback whale sound production detected from raw passive acoustic data.All continuous acoustic data were divided into 30 s wav file subsamples and processed using a machine learning humpback whale detector model developed and provided by Google (GoogleAI; Matt Harvey). The presence of humpback whale song is scored by the model and, compared to a choosen threshold, was assigned a binary 0/1 designation indicating absence (0) or presence (1). The percentage of files with humpback whale presence per hour was calculated.These data were recorded at SanctSound Site HI06_01 between December 01, 2019 and July 01, 2020.

This record represents humpback whale sound production detected from raw passive acoustic data.All continuous acoustic data were divided into 30 s wav file subsamples and processed using a machine learning humpback whale detector model developed and provided by Google (GoogleAI; Matt Harvey). The presence of humpback whale song is scored by the model and, compared to a choosen threshold, was assigned a binary 0/1 designation indicating absence (0) or presence (1). The percentage of files with humpback whale presence per hour was calculated.These data were recorded at SanctSound Site PM08_01 between October 02, 2009 and May 24, 2010.