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SanctSound Hybrid Millidecade Spectra
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.
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SWAL Hybrid Millidecade Spectra
공공데이터포털
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).
MBARI-MARS Hybrid Millidecade Spectra
공공데이터포털
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.
BOEM-Cornell Hybrid Millidecade Spectra
공공데이터포털
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.
NEFSC Hybrid Millidecade Spectra
공공데이터포털
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 (v9.6.13).
AEON Hybrid Millidecade Spectra
공공데이터포털
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 AEON sites.
ONMS Sound Hybrid Millidecade Spectra
공공데이터포털
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).
Fram Strait - NOAA PMEL Hybrid Millidecade Spectra
공공데이터포털
This record represents the hybrid millidecade (HMD) sound levels derived from calibrated passive acoustic data. Daily HMD at 1 minute resolution were created using standalone MANTA software (v9.6.13). Sound levels are calculated at 1 Hz resolution up to 435 Hz and then at millidecade frequency bands above 435 Hz. Details on the hybrid millidecade calculation can be found in Martin et al (2021). The source audio data were recorded using Autonomous Hydrophones deployed in the Fram Straight by NOAA's Pacific Marine Environmental Laboratory (PMEL) and the Alfred Wegener Institute.
ONMS Sound Raw Audio
공공데이터포털
This record represents the raw passive acoustic data collected by NOAA's Office of National Marine Sanctuaries (ONMS) Sound Monitoring Program. ONMS maintains a nationally coordinated underwater sound monitoring network across the National Marine Sanctuary System. We work with partners to study sound within ten existing and two proposed national marine sanctuaries off the US East Coast, in the Gulf of Mexico, off the West Coast and in the Pacific Islands region.The ONMS Sound network supports the program's understanding and protection of sanctuaries including restoration efforts, effectiveness of and compliance with regulations, quantifying sanctuary usages and assessing human impacts
Estuarine Soundscape Observatory Network in the Southeast (ESONS) Raw Audio Data
공공데이터포털
These are raw audio data from the Estuarine Soundscape Observatory Network in the Southeast (ESONS) funded by NOAA IOOS/SECOORA. Passive acoustic recorders (Loggerhead instruments, Sarasota, FL) in custom built instrument frames (Mooring Systems Inc., Cataumet, MA) were deployed in the May River following methodology found in Monczak et al. 2017 and Monczak et al. 2019. All frames and recorders were painted with antifouling paint and equipped with 7 m of galvanized chain attached to a line. Instrument frames with recorders were then deployed on the bottom of the river. The line was stretched along the bottom and attached to an auger on the shoreline. We scheduled recorders to collect sound data on a duty cycle of 2 min every 20 min or 2 min every hour. Recorders were serviced approximately every 3 months (Montie et al. 2015; Marian et al. 2021).
Estuarine Soundscape Observatory Network in the Southeast (ESONS) Raw Audio Data
공공데이터포털
These are raw audio data from the Estuarine Soundscape Observatory Network in the Southeast (ESONS) funded by NOAA IOOS/SECOORA. Passive acoustic recorders (Loggerhead instruments, Sarasota, FL) in custom built instrument frames (Mooring Systems Inc., Cataumet, MA) were deployed in the May River following methodology found in Monczak et al. 2017 and Monczak et al. 2019. All frames and recorders were painted with antifouling paint and equipped with 7 m of galvanized chain attached to a line. Instrument frames with recorders were then deployed on the bottom of the river. The line was stretched along the bottom and attached to an auger on the shoreline. We scheduled recorders to collect sound data on a duty cycle of 2 min every 20 min or 2 min every hour. Recorders were serviced approximately every 3 months (Montie et al. 2015; Marian et al. 2021).