Projects per year
Description
Data collected as part of the ACE expedition. Foraging behaviour data collected from 18 King Penguins breeding at South Georgia (GPS data, TDR data and acceleration data).
This work was supported by the ACE Foundation (projects 5 and 19); the Natural Environment Research Council’s Collaborative Antarctic Science Scheme (CASS-129); and a Trans-Antarctic Association Grant to Richard Brain Sherley.
This work was supported by the ACE Foundation (projects 5 and 19); the Natural Environment Research Council’s Collaborative Antarctic Science Scheme (CASS-129); and a Trans-Antarctic Association Grant to Richard Brain Sherley.
| Date made available | Apr 2017 |
|---|---|
| Publisher | University of St Andrews |
| Date of data production | 2016 - 2017 |
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 AccessFile4 Citations (Scopus)6 Downloads (Pure)
Student theses
-
Acoustic deep scattering layers as dynamic prey landscapes for air-breathing deep-diving Antarctic predators
Le Guen, C. M.M.-A. (Author), Brierley, A. S. (Supervisor) & Boehme, L. (Supervisor), 1 Dec 2021Student thesis: Doctoral Thesis (PhD)
Datasets
-
12.5 kHz raw echosounder data collected on the Antarctic Circumnavigation Expedition during the austral summer of 2016/2017.
Proud, R. (Contributor), Le Guen, C. (Contributor), Bernasconi, M. (Contributor), Fernandes, P. (Contributor), Lawrence, J. (Contributor), Brierley, A. (Contributor) & Everson, I. (Contributor), Zenodo, 21 Dec 2019
Dataset