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  • ARK-XXX/2, GN05; Audio file; Audio file (File Size); DATE/TIME; DEPTH, water; F5-17; FRAM; FRontiers in Arctic marine Monitoring; Maria S. Merian; MOOR; Mooring; Mooring (long time); MOORY; MSM76; MSM76_198-1; North Atlantic; North Greenland Sea; Passive acoustic recorder Sono.Vault, develogic GmbH, and automated signal detection by spectrogram cross-correlation; Polarstern; PS100; PS100/019-1; PS100/019-1, MSM76_198-1  (1)
  • Abundance; ARK-XXVI/1; Biomass; biovolume; Copepoda; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; Elevation of event; Equivalent spherical diameter; Event label; Fram Strait; Image number/name; Latitude of event; Length; Longitude of event; MSN; Multiple opening/closing net; North Greenland Sea; Polarstern; PS78; PS78/019-5; PS78/025-3; PS78/035-2; PS78/039-5; PS78/044-4; PS78/054-5; PS78/071-5; PS78/075-5; PS78/127-7; QUAntifying Rapid Climate Change in the Arctic: regional feedbackS and large-scale impacts; QUARCCS; Taxon/taxa; Zooplankton; ZOOSCAN  (1)
  • Abundance; Biomass; biovolume; Copepoda; Fram Strait; QUAntifying Rapid Climate Change in the Arctic: regional feedbackS and large-scale impacts; QUARCCS; Zooplankton  (1)
  • Balaenoptera musculus intermedia
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Years
  • 1
    Publication Date: 2024-06-12
    Description: Mesozooplankton samples were collected with the Multinet midi (Hydrobios, Kiel) and Bongo nets during the POLARSTERN cruise PS78 (ARK-XXVI/1) on a transect across Fram Strait. The samples were analyzed with imaged-based ZooScan analysis (Gorsky et al. 2010) and microscopic counts to compare the taxonomic resolution and abundance of both methods as described in Cornils et al. (2022). The data collection includes abundance, biovolume, biomass and length measurements derived from the image-based analysis with ZooScan as well as abundances based on microscopic counts. To compare biomass estimates from image parameters direct measurements of prosome length and individual dry mass of Calanus spp. are also provided. The data analysis is described in Cornils et al. (2022).The R scripts deposited at GitHub (Cornils 2022) allow the transformation of the EcoTaxa image dataset https://ecotaxa.obs-vlfr.fr/prj/2771 to abundance, biovolume and dry mass of the zooplankton organisms.
    Keywords: Abundance; Biomass; biovolume; Copepoda; Fram Strait; QUAntifying Rapid Climate Change in the Arctic: regional feedbackS and large-scale impacts; QUARCCS; Zooplankton
    Type: Dataset
    Format: application/zip, 7 datasets
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-05-17
    Description: Passive acoustic monitoring (PAM) data were collected by recorder SV1088 of type Sono.Vault (manufactured by develogic GmbH, Hamburg, Germany) at 79° 00.02' N, 005° 40.12' E, mooring F5-17, in Fram Strait. During a deployment period from July 2016 to September 2018, passive acoustic data were collected from July 2016 to July 2017 (recording period) by SV1088 as part of the Frontiers in Arctic Marine Monitoring (FRAM) observatory in Fram Strait. The recorder was moored at 808 m depth and scheduled to record continuously at a sample rate of 48,000 Hz. Further details about the data acquisition and processing of this data set can be found in the accompanying metadata file (see Additional metadata) as well as the data processing report (see Data Processing Report). Passive acoustic data archived here represent data processing Level 1+, according to the standards defined in the associated Standard Operation Procedure (SOP) Glossary (Thomisch et al. 2023a). Further information on data processing with regard to data preparation and standardization can be found in the associated SOP Part 1: Data preparation and standardization (Thomisch et al. 2023b).
    Keywords: ARK-XXX/2, GN05; Audio file; Audio file (File Size); DATE/TIME; DEPTH, water; F5-17; FRAM; FRontiers in Arctic marine Monitoring; Maria S. Merian; MOOR; Mooring; Mooring (long time); MOORY; MSM76; MSM76_198-1; North Atlantic; North Greenland Sea; Passive acoustic recorder Sono.Vault, develogic GmbH, and automated signal detection by spectrogram cross-correlation; Polarstern; PS100; PS100/019-1; PS100/019-1, MSM76_198-1
    Type: Dataset
    Format: text/tab-separated-values, 361 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2024-06-25
    Keywords: Abundance; ARK-XXVI/1; Biomass; biovolume; Copepoda; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; Elevation of event; Equivalent spherical diameter; Event label; Fram Strait; Image number/name; Latitude of event; Length; Longitude of event; MSN; Multiple opening/closing net; North Greenland Sea; Polarstern; PS78; PS78/019-5; PS78/025-3; PS78/035-2; PS78/039-5; PS78/044-4; PS78/054-5; PS78/071-5; PS78/075-5; PS78/127-7; QUAntifying Rapid Climate Change in the Arctic: regional feedbackS and large-scale impacts; QUARCCS; Taxon/taxa; Zooplankton; ZOOSCAN
    Type: Dataset
    Format: text/tab-separated-values, 16350 data points
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2022-05-25
    Description: © The Author(s), 2016. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Endangered Species Research 30 (2016): 239-253, doi:10.3354/esr00739.
    Description: Distribution and movement patterns of Antarctic blue whales Balaenoptera musculus intermedia at large temporal and spatial scales are still poorly understood. The objective of this study was to explore spatio-temporal distribution patterns of Antarctic blue whales in the Atlantic sector of the Southern Ocean, using passive acoustic monitoring data. Multi-year data were collected between 2008 and 2013 by 11 recorders deployed in the Weddell Sea and along the Greenwich meridian. Antarctic blue whale Z-calls were detected via spectrogram cross-correlation. A Blue Whale Index was developed to quantify the proportion of time during which acoustic energy from Antarctic blue whales dominated over background noise. Our results show that Antarctic blue whales were acoustically present year-round, with most call detections between January and April. During austral summer, the number of detected calls peaked synchronously throughout the study area in most years, and hence, no directed meridional movement pattern was detectable. During austral winter, vocalizations were recorded at latitudes as high as 69°S, with sea ice cover exceeding 90%, suggesting that some Antarctic blue whales overwinter in Antarctic waters. Polynyas likely serve as an important habitat for baleen whales during austral winter, providing food and reliable access to open water for breathing. Overall, our results support increasing evidence of a complex and non-obligatory migratory behavior of Antarctic blue whales, potentially involving temporally and spatially dynamic migration routes and destinations, as well as variable timing of migration to and from the feeding grounds.
    Keywords: Passive acoustic monitoring ; Antarctic blue whale ; Balaenoptera musculus intermedia ; Baleen whale migration ; Southern Ocean
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Location Call Number Limitation Availability
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