The acoustic data were collected between 2015 and 2019 at six stations in the southern Gulf of St. Lawrence using two different deployment configurations. The dataset also includes audio samples from the Gulf of Maine recorded in 2009, which were part of the DCLDE 2013 Challenge dataset (https://soi.st-andrews.ac.uk/static/soi/dclde2013/documents/WorkshopDataset2013.pdf).
The acoustic data are supplemented by expert annotations indicating the presence/absence of North Atlantic right whale upcalls. Spectrogram images are also provided.
These data have been used to train a deep neural network to detect North Atlantic right whale upcalls, as described in the article "Performance of a Deep Neural Network at Detecting North Atlantic Right Whale Upcalls" by Kirsebom, Frazao, Simard, Roy, Matwin, and Giard (doi:10.1121/10.0001132), which also contains a detailed description of the data.
The software developed as part of this work is available on Zenodo (doi:10.5281/zenodo.3736625) under a GPLv3 license. This includes Python scripts for building training and test datasets, computing signal-to-noise ratios, visualizing spectrograms, training the deep neural network, and using the network to analyze continuous audio recordings.
10.20383/101.0241
