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DCLDE 2015 Datasets
DCLDE Workshops are intended for exchanging information that advances our understanding of acoustic methods to detect, classify, locate, track, count, and monitor marine mammals in their natural environment. The goal is to encourage interdisciplinary approaches to solve real-world problems related to the study of marine mammals and the effects of human activities. The DCLDE 2015 dataset consists of data from multiple deployments of high-frequency acoustic recording packages deployed in the Southern California Bight. Separate sets of development data are provided for mysticetes and odontocetes. The mysticete data have been decimated to 1 and 1.6 kHz bandwidth and the odontocete data bandwidth consists of data with 100 and 160 kHz of bandwidth. Data were selected to cover all four seasons and from multiple locations. High-frequency datasets consist of annotated data from multiple odontocete species. Included is Baird’s beaked whale (Berardius bairdii), Cuvier’s beaked whale (Ziphius cavirostris), Sperm whale (Physeter macrorhynchus), Pacific white-sided dolphin (Lagenorhynchus obliquidens), Risso’s dolphin (Grampus griseus), unspecified porpoise (Phocoenidae), and odontocete other than those described above (Odontoceti). The goal for this dataset is to identify acoustic encounters of a species during times when animals were echolocating. Low-frequency datasets consist of annotated data for specific calls from two mysticete species, blue whale (Balaenoptera musculus) D calls and fin whale (Balaenoptera physalus) 40 Hz calls. The goal for this dataset is to identify specific blue whale D and fin whale 40 Hz calls.
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DCLDE 2018 Datasets
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DCLDE Workshops are intended for exchanging information that advances our understanding of acoustic methods to detect, classify, locate, track, count, and monitor marine mammals in their natural environment. The goal is to encourage interdisciplinary approaches to solve real-world problems related to the study of marine mammals and the effects of human activities. These DCLDE 2018 workshop datasets were provided by the Scripps Institution of Oceanography. They consist of acoustic recordings from multiple deployments of high-frequency acoustic recording packages deployed in the Western North Atlantic (US EEZ) and Gulf of Mexico. Separate sets of development data are provided for mysticetes and odontocetes. The mysticete data have been decimated to 1 kHz bandwidth (2 kHz sample rate) and the odontocete data have 100 kHz of bandwidth (200 kHz sample rate). Data were selected to cover multiple seasons and locations while providing high species diversity and call counts.
DCLDE 2022 Raw Passive Acoustic Data
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The DCLDE Oahu dataset consists of a subset of passive acoustic data collected using a multi-channeltowed hydrophone array during the Hawaiian Islands Cetacean and Ecosystem Assessment Survey(HICEAS) in 2017. HICEAS was a visual and passive acoustic survey using line-transect methods. Thesurvey took place from July through November of 2017 using two research vessels that systematicallysurveyed the entire Hawaiian Exclusive Economic Zone (EEZ).
Maryland BOEM M14AC00018 Raw Audio Data
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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
ADEON Raw Passive Acoustic Data
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This record represents the raw passive acoustic data collected from Atlantic Deepwater Ecosystem Observatory Network (ADEON) for the U.S. Mid- and South Atlantic Outer Continental Shelf (OCS) which was developed and deployed in November of 2017. This observatory network will generate long-term measurements of both the natural and human factors active in this region, thus informing the ecology and soundscape of the OCS. These data will provide further a mechanistic understanding of the cumulative impacts these factors have on marine resources and provide insight for ecosystem-based management efforts. Long-term observations of living marine resources and marine sound will assist Federal agencies, including BOEM, ONR, and NOAA, in complying with mandates in the Endangered Species Act (ESA), Marine Mammal Protection Act (MMPA), and Sustainable Fisheries Act (SFA).
Passive Acoustic Data Collection
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The collection and analysis of passive acoustic data supports research into the soundscape of marine environments. Primary uses include detecting and characterizing sounds produced and used by living marine resources, natural sources of noise from physical oceanographic processes, and anthropogenic noise sources that contribute to the overall ocean noise environment. This analysis supports a wide range of activities including marine mammal stock assessments, monitoring of earthquake and geological activity, and assessing impacts of anthropogenic noise on marine life. The goal of this collection is to steward an accessible national archive of passive acoustic data available to researchers and the public, and to assist NOAA in meeting their data management and accessibility requirements.
Virginia BOEM M15AC00010 Raw Audio Data
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Passive acoustic monitoring recorders were deployed off the coast of Virginia to collect two years of acoustic data from 2015 - 2017 to determine the acoustic presence of four focal whale species: North Atlantic right whale (Eubalaena glacialis), minke whale (Balaenoptera acutorostrata), fin whale (Balaenoptera physalus) and humpback whale (Megaptera novaeangliae). Previously collected acoustic data from 2012, 2013 and 2015 supplemented the dataset and both seasonal and annual trends in temporal and spatial distribution were found for all four species of baleen whales. Baseline ambient noise measurements were analyzed to provide context for potential risks to whales associated with the construction and development in the offshore wind energy area. In addition, spatial and temporal trends in odontocete presence were analyzed. Offshore wind energy development in coastal Virginia waters may pose risks to marine mammals that use the habitat, both through acute risks of ship-strikes or construction-related activities such as pile driving, and chronic risks from increased exposure to noise. Passive acoustic monitoring can provide insight into the spatial and temporal distribution of whale species in the study area and can characterize the baseline ambient noise of the environment to assess potential risks to marine mammals.
Virginia BOEM M15AC00010 Raw Audio Data
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Passive acoustic monitoring recorders were deployed off the coast of Virginia to collect two years of acoustic data from 2015 - 2017 to determine the acoustic presence of four focal whale species: North Atlantic right whale (Eubalaena glacialis), minke whale (Balaenoptera acutorostrata), fin whale (Balaenoptera physalus) and humpback whale (Megaptera novaeangliae). Previously collected acoustic data from 2012, 2013 and 2015 supplemented the dataset and both seasonal and annual trends in temporal and spatial distribution were found for all four species of baleen whales. Baseline ambient noise measurements were analyzed to provide context for potential risks to whales associated with the construction and development in the offshore wind energy area. In addition, spatial and temporal trends in odontocete presence were analyzed. Offshore wind energy development in coastal Virginia waters may pose risks to marine mammals that use the habitat, both through acute risks of ship-strikes or construction-related activities such as pile driving, and chronic risks from increased exposure to noise. Passive acoustic monitoring can provide insight into the spatial and temporal distribution of whale species in the study area and can characterize the baseline ambient noise of the environment to assess potential risks to marine mammals.
DCLDE 2011 Annotated Odontocete Whistles
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The fifth conference for the Detection, Classification, Density Estimation, and Localization of Marine Mammals Using Passive Acoustics (DCLDE 2011) asked participants to create algorithms to annotate toothed whale whistles with detailed time-frequency contours. Details on the corpus and the annotation methods that were used to annotate it can be found in Roch et al. (2011, DOI: 10.1121/1.3624821). The dataset's README.md file provides a brief summary.
SanctSound Raw Passive Acoustic Data
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This record represents the raw passive acoustic data collected from the NOAA-Navy Sanctuary Soundscapes Monitoring Project (SanctSound). NOAA and the U.S. Navy are working to better understand underwater sound within the U.S. National Marine Sanctuary System. From 2018 to 2021, these agencies collected passive acoustic data to study sound at 30 recording sites within seven national marine sanctuaries and one marine national monument, which includes waters off Hawai'i and the east and west coasts.
DCLDE 2013 NOAA NEFSC North Atlantic Right Whale Annotations
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This dataset is a compilation of 1 week of acoustic data, collected in the Stellwagen Bank National Marine Sanctuary within the Western North Atlantic Ocean. The dataset was manually annotated for the presence of North Atlantic right whale upcalls and was originally part of the 2013 DCLDE (Detection, Classification, Localization, and Density Estimation) conference datasets, and was recently re-analyzed so all log files were from the same site (site 10, corresponds to channel 10 in multichannel data files) for the entire week of data. Each day of data was manually browsed in Raven 1.5, and all North Atlantic right whale upcalls were logged (for multichannel data, only one channel was analyzed and logged: the channel logged is indicated in the corresponding csv file). In the "Detection_Confidence" field, a definite upcall is marked as "Detected"; Possible or unknown detections ( i.e. a call could not be definitely attributed to a North Atlantic right whale), is marked as "Possibly_Detected". Acoustic data and analysis provided by NOAA Northeast Fisheries Science Center's Passive Acoustic Research group; upcall logs annotated by Nicole Pegg.
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