Projects per year
Description
Dataset abstract
These data consist of raw echosounder observations collected during ACE (Leg1-Leg3) using an EK80 WBT operating at 12.5 kHz. The instrument was calibrated at South Georgia during the expedition (Leg 3) and corrections were applied prior to calculation of the volume backscattering strength (Sv). The signal-to-noise ratio (SNR) was analysed and was deemed very poor at depths greater than 1000 m. Therefore, only data collected between the transducer depth (8.4 m) and 1000 m were archived. Sv values within this depth range that had poor SNRs (<2) were deemed to be bad data and set to a value of NA. Observations were made using a pulse duration of 16.384 ms (c. 24 m) and are therefore not suitable for fine-scale studies (e.g. analysis of krill swarms). They are more suited to studies relating to large-scale biological features such as deep scattering layers.
Dataset contents
ACE-DYYYYMMDD-THHMMSS.csv, data files, comma-separated values
data_file_header.txt, metadata, text
README.txt, metadata, text
These data consist of raw echosounder observations collected during ACE (Leg1-Leg3) using an EK80 WBT operating at 12.5 kHz. The instrument was calibrated at South Georgia during the expedition (Leg 3) and corrections were applied prior to calculation of the volume backscattering strength (Sv). The signal-to-noise ratio (SNR) was analysed and was deemed very poor at depths greater than 1000 m. Therefore, only data collected between the transducer depth (8.4 m) and 1000 m were archived. Sv values within this depth range that had poor SNRs (<2) were deemed to be bad data and set to a value of NA. Observations were made using a pulse duration of 16.384 ms (c. 24 m) and are therefore not suitable for fine-scale studies (e.g. analysis of krill swarms). They are more suited to studies relating to large-scale biological features such as deep scattering layers.
Dataset contents
ACE-DYYYYMMDD-THHMMSS.csv, data files, comma-separated values
data_file_header.txt, metadata, text
README.txt, metadata, text
Date made available | 21 Dec 2019 |
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Publisher | Zenodo |
Projects
- 1 Finished
-
Microbes to Megafauna Modelling: Microbes to Megafauna Modelling of Arctic Seas (MiMeMo)
Brierley, A. S. (PI)
1/07/18 → 30/06/21
Project: Standard
Research output
- 1 Article
-
Using predicted patterns of 3D prey distribution to map king penguin foraging habitat
Proud, R., Le Guen, C. M.M.-A., Sherley, R., Kato, A., Coudert, Y.-R., Ratcliffe, N., Jarman, S., Wyness, A., Arnould, J. P., Saunders, R. A., Fernandes, P. G., Boehme, L. & Brierley, A. S., 29 Nov 2021, In: Frontiers in Marine Science. 8, 18 p., 745200.Research output: Contribution to journal › Article › peer-review
Open AccessFile
Datasets
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Acoustic Deep Scattering Layers as Dynamic Prey Landscapes for Air-Breathing Deep-Diving Antarctic Predators (thesis data)
Le Guen, C. M.M.-A. (Creator), Brierley, A. S. (Supervisor), Sherley, R. (Contributor) & Proud, R. H. (Contributor), University of St Andrews, Apr 2017
DOI: 10.17630/d92c1af3-6149-4bb5-aa14-6fb00ef3a85a, https://zenodo.org/record/3587678#.X3Msm2hKiF4 and one more link, http://hdl.handle.net/10023/21604 (show fewer)
Dataset: Thesis dataset
File