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During the 2013 Antarctic Blue Whale Voyage of the Southern Ocean Research Partnership a photogrammetric video tracking system was used to collect precise surfacing locations during encounters with some Antarctic blue whales. The photogrammetric video tracking system is described by Leaper and Gordon 2001, and enables determination of the range and bearing to tracked objects relative to the ship. During the voyage, 32 tracking sessions yielded 553 precise photogrammetric locations comprising a total of 27 tracks of blue whales. Leaper, R. and Gordon, J. 2001. Application of photogrammetric methods for locating and tracking cetacean movements at sea. Journal of Cetacean Research and Management, 3: 131-141.
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This dataset contains acoustic recordings from Directional Frequency Analysis and Recording (DIFAR) sonobuoys that were deployed during the 2013 Antarctic blue whale voyage. During the 47 day voyage 360 sonobuoys were deployed yielding 733 hours of acoustic recordings. On average, slightly more than eight sonobuoys were used per survey day. Ninety three sonobuoys were deployed in transit to or from the edge of the sea-ice while the remainder were deployed to monitor and target Antarctic blue whales. The telemetered audio from sonobuoys was monitored aurally and visually (via spectrogram) in real-time by one or more on-duty acousticians. A total team of five dedicated acousticians monitored round-the-clock for blue whales and in all weather conditions. Upon detection of blue whale vocalisations the vessel was directed towards the locations of these sounds. After deployment, sonobuoys sent acoustic and directional data to the ship via a VHF radio transmitter. Radio signals from the sonobuoy were received using an omnidirectional VHF antenna (PCTel Inc. MFB1443; 3 dB gain tuned to 144 MHz centre frequency) and pre-amplifier (Minicircuits Inc. ZX60-33LN-S+) mounted on the mast of the ship at a height of 21 m. The preamplifier was connected to a power splitter via LMR400 cable and signals were received with two WiNRaDiO G39WSBe sonobuoy receivers. The radio signal from sonobuoys was adequate for monitoring and localization out to a typical range of 12-15 nmi. Received signals were digitised via a sound board (RME Fireface; RME Inc.), and signals were recorded on a personal computer using the software program PAMGuard (Gillespie et al. 2008). Three models of sonobuoys were used during the voyage: 79 were AN/SSQ-53D (Ultra Electronics, Canada), 81 were AN/SSQ-53F (Ultra Electronics: SonobuoyTechSystems, USA) and 200 were AN/SSQ-955-HIDAR (deployed in DIFAR compatibility mode; Ultra Electronics Sonar Systems, UK). In addition to recording of Antarctic blue whale song, New Zealand type blue whale song, and blue whale "D-call" vocalisations, these recordings also contain vocalisations from fin whales, humpback whales, sei whales, killer whales, sperm whales, as well as low frequency sounds from Antarctic sea ice.
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This file contains the deployment metadata for satellite tag deployments during the Antarctic blue whale voyage 2013. Specifically, this file contains: Argos Number – the platform transmitting terminal identification number assigned by Argos Date (UTC) Time (UTC) Location (at deployment) Field trip (field trip identifier) Deployment Lat itude Deployment Longitude Species Sex (as determined via biopsy sample analysis) Body condition Maturity Group Size Initial Activity Deployment Method (used to deploy satellite tag) Airgun Pressure (bar) Shot distance (m) %age Implanted (percentage of tag implanted – 100% = full implantation) Reaction (to tagging) Boat driver Tag Shooter Biopsy Shooter Filmed? Photo Id taken? Frame number (of photo ID image) Biopsy taken? Biopsy ID (sample identification number) A data update was provided in August, 2022. Three files were added: BDJ_Argos_locs_SDA_filter.csv (Antarctic blue whale tracking data - Argos locations with SDA filter outcome, state space model with move persistence/behavioural index) BDJ_ssm_2h_mpm.csv (State space model output at 2h time step with move persistence (gamma) value used to provide behavioural context to movement) Data package details.docx (provides further details about the above two files.
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During the 2015 New Zealand-Australia Antarctic Ecosystem Voyage a digital photogrammetric video tracking system was used to collect precise surfacing locations during encounters with some Antarctic blue whales. The photogrammetric video tracking system is a modern digital video version based on the same operating principle as the that described by Leaper and Gordon 2001, and enables determination of the range and bearing to tracked objects relative to the ship. Around 15 hours of video tracking were recorded of which 8 hours were classified as good quality of a single animal or in one case a pair of animals that stayed close together. Focal follows were aborted when it was no longer possible to follow the focal animal due to ice or when the presence of other animals meant it was no longer possible to be sure which was the focal animal. This resulted in 7 tracks of longer than 45 minutes with the longest around 2 hours. Leaper, R. and Gordon, J. 2001. Application of photogrammetric methods for locating and tracking cetacean movements at sea. Journal of Cetacean Research and Management, 3: 131-141.
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This dataset contains acoustic recordings from Directional Frequency Analysis and Recording (DIFAR) sonobuoys that were deployed throughout the 2015 NZ-Aus Antarctic Ecosystems Voyage. During the 42 day voyage 310 sonobuoys were deployed yielding 520 hours of acoustic recordings. Two models of sonobuoys were used during the voyage: 2 were AN/SSQ-53F (Ultra Electronics: SonobuoyTechSystems, USA) and 308 were re-lifed AN/SSQ-955-HIDAR (deployed in DIFAR compatibility mode; Ultra Electronics Sonar Systems, UK). A total team of four dedicated acousticians monitored round-the-clock for blue whales and in all weather conditions. After deployment, sonobuoys sent acoustic and directional data to the ship via a VHF radio transmitter. Radio signals from the sonobuoy were received using an omnidirectional VHF antenna (PCTel Inc. MFB1443; 3 dB gain tuned to 144 MHz centre frequency) and pre-amplifier (Minicircuits Inc. ZX60-33LN-S+) mounted on the mast of the ship at a height of 21 m. The preamplifier was connected to a power splitter via LMR400 cable and signals were received with two WiNRaDiO G39WSBe sonobuoy receivers. The radio signal from sonobuoys was adequate for monitoring and localization out to a typical range of 12-15 nmi. Received signals were digitised via the instrument inputs of a Fireface UFX sound board (RME Fireface; RME Inc.) with a gain set to 20 dB (8.396 V peak-peak voltage limits). Digitised signals were recorded on a personal computer as two-channel 48 kHz 24-bit WAV audio files using the software program PAMGuard (Gillespie et al. 2008). Directional calibration The magnetic compass in each sonobuoy was calibrated/validated upon deployment as described by Miller et al. (2015, 2016). Calibration procedure involved measuring the mean bearing error and standard deviation of errors between the GPS-derived bearing from the sonobuoy to the ship and the magnetic bearing to the ship noise detected by the sonobuoy. 15-20 bearings were used for each calibration as the ship steamed directly away from the deployment location. Intensity calibration Obtaining calibrated intensity measurements from sonobuoys not only requires knowledge of the sensitivity of the hydrophone, but also the calibration parameters of the radio transmitter and radio receiver. Throughout the voyage, a hydrophone sensitivity of -122 dB re 1 V/micro Pa was applied to recordings via the Hydrophone Array Manager in PAMGuard. This value is defined in the DIFAR specification as the reference intensity at 100 Hz that will generate a frequency deviation of 25 kHz (Maranda 2001), thus the specification combines the hydrophone sensitivity and transmitter calibration. In line with manufacturers specifications, the WiNRADiO G39 WSB had a measured voltage response of 1 V-peak–peak (approximately -3 dB) at 25 kHz frequency deviation (Miller et al. 2014), and this was subtracted from the hydrophone sensitivity to yield an total combined factor of 125 dB re 1 V/µPa. The gain of the instrument input on the Fireface UFX was set to 20 dB, yielding a maximum voltage input voltage range of 8.36 V peak–peak. These calibration settings, along with the shaped filter response provided by Greene et al. (2004) make it possible to obtain calibrated pressure amplitude from the recorded WAV audio files. Sonobuoy deployment metadata The PAMGuard DIFAR Module (Miller et al. 2016) was used to record the sonobuoy deployment metadata such as location, sonobuoy deployment number, and audio channel in the HydrophoneStreamers table of the PAMGuard database (PamguardBlueWhale-2015-02-03.mdb). A written sonobuoy deployment log (Sonobuoy deployment logbook - 2015 Tangaroa.pdf) was also kept during the voyage, and this includes additional notes and additional information not included in the PAMGuard Database such as sonobuoy type, and sonobuoy end-time. Real-time monitoring and analysis (Acoustic event log) Aural and visual monitoring of audio and spectrograms from each sonobuoy was conducted for each sonobuoy deployment. Two different spectrograms were typically viewed, one for low-frequency sounds with the following parameters: 250 Hz sample rate; 256 sample FFT; 32 sample advance between time slices. The other spectrogram was used to view mid-frequency sounds with the following parameters: 8000 Hz sample rate; 1024 sample FFT; 128 sample advance between time slices. Monitoring was typically conducted in real-time as data were being acquired, and the intensity scale of the spectrogram was adjusted by the operator to suit the ambient noise conditions. Detections from marine mammals, ice, and other sources and were detected and classified manually, and their time and frequency bounds were marked on the PAMGuard spectrogram. The PAMGuard DIFAR module (Miller et al. 2016) was then used to measure the direction of arrival and intensity of suitable calls from a variety of species such as tonal, frequency-modulated, and pulsed calls of baleen whales; and also some whistles from toothed whales. Echolocation clicks from sperm whales and any other short broadband sounds were noted in the PAMGuard UserInput (free form notes stored in the PAMGuard Microsoft Access database), but were not able to be localised with the DIFAR module due to limitations inherent in directional sensors in the sonobuoy. Each detection, bearing, and intensity measurement were saved within PAMGuard binaryStorage files in addition to the DIFAR_Localisation table of the PAMGuard database. In addition to PAMGuard binary files and audio files, the PAMGuard settings and metadata were saved inside the PAMGuard Sqlite database. Parameters for monitoring, recording, directional analysis, and other PAMGuard modules were stored within the PAMGuard database and as stand-alone Pamguard Settings Files (PSF). In addition to recording of Antarctic blue whale song, New Zealand type blue whale song, and blue whale 'D-call' vocalisations, these recordings also contain vocalisations from fin whales, humpback whales, killer whales, sperm whales, as well as low frequency sounds from Antarctic sea ice. Whale tracking log (Written Whale Acoustic Tracking Log - Tangaroa 2015.pdf) During the 2015 Voyage Acousticians also created a written summary of the event log at irregular intervals, typically between 30-60 minutes and this summary comprises the Whale Tracking Log. The acoustician on-duty recorded the average bearings or locations of each calling whale/group in the written Whale Tracking Log when the situation regarding the relative position of tracked whale groups was deemed to have changed. Entries in the written Sonobuoy Tracking Log (on the bench in the acoustics workstation) included the location of different whale groups and total number of different whale groups heard during that time interval. References Greene, C.R.J. et al., 2004. Directional frequency and recording ( DIFAR ) sensors in seafloor recorders to locate calling bowhead whales during their fall migration. Journal of the Acoustical Society of America, 116(2), pp.799–813. Maranda, B.H., 2001. Calibration Factors for DIFAR Processing, Miller, B.S. et al., 2014. Accuracy and precision of DIFAR localisation systems: Calibrations and comparative measurements from three SORP voyages. Submitted to the Scientific Committee 65b of the International Whaling Commission, Bled, Slovenia. SC/65b/SH08, p.14. Miller, B.S. et al., 2016. Software for real-time localization of baleen whale calls using directional sonobuoys: A case study on Antarctic blue whales. The Journal of the Acoustical Society of America, 139(3), p.EL83-EL89. Available at: http://scitation.aip.org/content/asa/journal/jasa/139/3/10.1121/1.4943627. Miller, B.S. et al., 2015. Validating the reliability of passive acoustic localisation: a novel method for encountering rare and remote Antarctic blue whales. Endangered Species Research, 26(3), pp.257–269. Available at: http://www.int-res.com/abstracts/esr/v26/n3/p257-269/. Raw Audio Files: DS05_Sonobuoy_audio Sonobuoy deployment log: DS07_Sonobuoy_deployment_log Acoustic event log: DS08_Acoustic_event_log Whale tracking log: DS09_Whale_tracking_log
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All identification photos taken of Antarctic blue whales during the Antarctic blue whale voyage 2013
All photos taken during the Antarctic blue whale voyage in an attempt to get a best photo identification image of Antarctic blue whales, pygmy blue whales, killer whales, right whales and humpback whales. Image collection location and other details such as photographer, species, date (UTC) can be found in excel spreadsheet.
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This metadata record is a parent for all data on Antarctic blue whales collected during the 2015 New Zealand-Australia Antarctic Ecosystems Voyage. Description of specific data sets can be found in the Voyage Science Plan and within child datasets.
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This metadata record is a parent for all data collected during the 2013 Antarctic Blue Whale Voyage. Description of specific data sets can be found in the Voyage Science Plan and within child datasets.