These data are hybrid millidecade (HMD) spectra of underwater sound levels derived from calibrated passive acoustic recordings collected by NOAA's Office of National Marine Sanctuaries Sound Monitoring Program. Daily HMD at 1 minute resolution were created using standalone software that implements standard methods to promote comparability across datasets while balancing constrained volume and adequate resolution of acoustic spectra (Martin et al., 2021a,b).

The project collected three years of baseline data 12 - 60 km offshore of Maryland prior to construction and operation of an offshore wind energy facility. Two main types of sound recording devices that encompassed a range of frequencies were used to detect vocalizations from baleen whales (low frequencies) and toothed whales (high frequencies): the Marine Autonomous Recording Unit (MARU, or pop-up) sampling at 2 kHz and the C-POD (cetacean click detector), which monitors the 20 - 160 kHz frequency range. These were supplemented by additional acoustic recorders during select periods of the study at five sites to provide further information on mid-frequency sounds, such as dolphin whistling behavior. The use of a grid array design for the acoustic detection devices within the Maryland WEA facilitated localization of vocalizing whales to further understand spatial patterns of habitat usage. RESULTS: There is substantial overlap between marine mammals and the Maryland WEA, but this varies seasonally. While the risk to endangered whales is lowest during the summer, the risk to bottlenose dolphins may be highest at this time, as they are most abundant in the summer time. The year-round occurrence of marine mammals offshore of Maryland will require decision-makers to consider the trade-off of the potential impacts

To understand natural and anthropogenic sound in the ocean, and to compare underwater soundscapes globally, standard methods of analysis must be applied to passive acoustic monitoring (PAM) data. Methods that balance constrained volume and adequate resolution of acoustic spectra have recently been published (Martin et al., 2021a,b). These records are the results of this standardized analysis of PAM data, specifically calculation of hybrid millidecade (HMD) sound pressure levels derived from calibrated passive acoustic data from a long-term monitoring effort in the U.S. national marine sanctuary system. Daily HMD at 1 minute resolution were created using PyPAM software v0.2.0.

To understand natural and anthropogenic sound in the ocean, and to compare underwater soundscapes globally, standard methods of analysis must be applied to passive acoustic monitoring (PAM) data. Methods that balance constrained volume and adequate resolution of acoustic spectra have recently been published (Martin et al., 2021a,b). A community effort supported by NOAA, BOEM, U.S. Navy, and ONR was initiated to apply these methods to PAM datasets from around the world. These records are hybrid millidecade (HMD) spectra of sound levels derived from calibrated passive acoustic data. Daily HMD at 1 minute resolution were created using standalone MANTA software.

To understand natural and anthropogenic sound in the ocean, and to compare underwater soundscapes globally, standard methods of analysis must be applied to passive acoustic monitoring (PAM) data. Methods that balance constrained volume and adequate resolution of acoustic spectra have recently been published (Martin et al., 2021a,b). A community effort supported by NOAA, BOEM, U.S. Navy, and ONR was initiated to apply these methods to PAM datasets from around the world. These records are hybrid millidecade (HMD) spectra of sound levels derived from calibrated passive acoustic data. Daily HMD at 1 minute resolution were created using standalone MANTA software (v9.6.11).

Advancing remote marine mammal stock assessment with passive acoustic gliders

To understand natural and anthropogenic sound in the ocean, and to compare underwater soundscapes globally, standard methods of analysis must be applied to passive acoustic monitoring (PAM) data. Methods that balance constrained volume and adequate resolution of acoustic spectra have recently been published (Martin et al., 2021a,b). A community effort supported by NOAA, BOEM, U.S. Navy, and ONR was initiated to apply these methods to PAM datasets from around the world. These records are hybrid millidecade (HMD) spectra of sound levels derived from calibrated passive acoustic data. Daily HMD at 1 minute resolution were created using standalone MANTA software (v9.6.12) from audio data recorded at BOEM-Cornell sites.

To understand natural and anthropogenic sound in the ocean, and to compare underwater soundscapes globally, standard methods of analysis must be applied to passive acoustic monitoring (PAM) data. Methods that balance constrained volume and adequate resolution of acoustic spectra have recently been published (Martin et al., 2021a,b). A community effort supported by NOAA, BOEM, U.S. Navy, and ONR was initiated to apply these methods to PAM datasets from around the world. These data are hybrid millidecade (HMD) spectra of sound levels derived from calibrated passive acoustic data. Daily HMD at 1 minute resolution were created using standalone MANTA software (v9.6.13) from audio data recorded by the SanctSound monitoring project at various sites.

To understand natural and anthropogenic sound in the ocean, and to compare underwater soundscapes globally, standard methods of analysis must be applied to passive acoustic monitoring (PAM) data. Methods that balance constrained volume and adequate resolution of acoustic spectra have recently been published (Martin et al., 2021a,b). A community effort supported by NOAA, BOEM, U.S. Navy, and ONR was initiated to apply these methods to PAM datasets from around the world. These records are hybrid millidecade (HMD) spectra of sound levels derived from calibrated passive acoustic data. Daily HMD at 1 minute resolution were created using standalone MANTA software (v9.6.11).

These data were collected from March 28 to April 24, 2021, at Platform Hermosa as part of a larger rffort to characterize the sound from mechanical conductor cutting activities