Data_Sheet_1_Diving Behavior of Mirounga leonina: A Functional Data Analysis Approach.pdf
The diving behavior of southern elephant seals, Mirounga leonina, is investigated through the analysis of time-depth dive profiles. The originality of this work is to consider dive profiles as continuous curves. For this purpose, a Functional Data Analysis (FDA) approach is proposed for the shape an...
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ftfrontimediafig:oai:figshare.com:article/12987044 2023-05-15T16:05:39+02:00 Data_Sheet_1_Diving Behavior of Mirounga leonina: A Functional Data Analysis Approach.pdf Morgan Godard Claude Manté Christophe Guinet Baptiste Picard David Nerini 2020-09-22T04:05:30Z https://doi.org/10.3389/fmars.2020.00595.s001 https://figshare.com/articles/dataset/Data_Sheet_1_Diving_Behavior_of_Mirounga_leonina_A_Functional_Data_Analysis_Approach_pdf/12987044 unknown doi:10.3389/fmars.2020.00595.s001 https://figshare.com/articles/dataset/Data_Sheet_1_Diving_Behavior_of_Mirounga_leonina_A_Functional_Data_Analysis_Approach_pdf/12987044 Oceanography Marine Biology Marine Geoscience Biological Oceanography Chemical Oceanography Physical Oceanography Marine Engineering elephant seals foraging behavior functional data analysis capture events dive curves Dataset 2020 ftfrontimediafig https://doi.org/10.3389/fmars.2020.00595.s001 2020-09-23T22:55:25Z The diving behavior of southern elephant seals, Mirounga leonina, is investigated through the analysis of time-depth dive profiles. The originality of this work is to consider dive profiles as continuous curves. For this purpose, a Functional Data Analysis (FDA) approach is proposed for the shape analysis of a collection of dive profiles. Complexity of dive shapes is characterized by a mixture of three main shape variations accounting for about 80% of the entire variability: U or V shape, vertical depth variability during the bottom time, and skewed left or right. Model-based clustering allows the identification of eight dive shape clusters in a quick and automated way. Connection between shape patterns and classical descriptors, as well as the number of prey capture events, is achieved, showing that the clusters are coherent to specific foraging behaviors previously identified in the literature labeled as drift, exploratory and active dives. Finally, FDA is compared to classical methods relying on the computation of discrete dive descriptors. Results show that taking the shape of the dive as a whole is more resilient to corrupted or incomplete sampled data. FDA is, therefore, an efficient tool adapted for processing and comparing dive data with different sampling frequencies and for improving the quality and the accuracy of transmitted data. Dataset Elephant Seals Mirounga leonina Southern Elephant Seals Frontiers: Figshare |
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Frontiers: Figshare |
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ftfrontimediafig |
language |
unknown |
topic |
Oceanography Marine Biology Marine Geoscience Biological Oceanography Chemical Oceanography Physical Oceanography Marine Engineering elephant seals foraging behavior functional data analysis capture events dive curves |
spellingShingle |
Oceanography Marine Biology Marine Geoscience Biological Oceanography Chemical Oceanography Physical Oceanography Marine Engineering elephant seals foraging behavior functional data analysis capture events dive curves Morgan Godard Claude Manté Christophe Guinet Baptiste Picard David Nerini Data_Sheet_1_Diving Behavior of Mirounga leonina: A Functional Data Analysis Approach.pdf |
topic_facet |
Oceanography Marine Biology Marine Geoscience Biological Oceanography Chemical Oceanography Physical Oceanography Marine Engineering elephant seals foraging behavior functional data analysis capture events dive curves |
description |
The diving behavior of southern elephant seals, Mirounga leonina, is investigated through the analysis of time-depth dive profiles. The originality of this work is to consider dive profiles as continuous curves. For this purpose, a Functional Data Analysis (FDA) approach is proposed for the shape analysis of a collection of dive profiles. Complexity of dive shapes is characterized by a mixture of three main shape variations accounting for about 80% of the entire variability: U or V shape, vertical depth variability during the bottom time, and skewed left or right. Model-based clustering allows the identification of eight dive shape clusters in a quick and automated way. Connection between shape patterns and classical descriptors, as well as the number of prey capture events, is achieved, showing that the clusters are coherent to specific foraging behaviors previously identified in the literature labeled as drift, exploratory and active dives. Finally, FDA is compared to classical methods relying on the computation of discrete dive descriptors. Results show that taking the shape of the dive as a whole is more resilient to corrupted or incomplete sampled data. FDA is, therefore, an efficient tool adapted for processing and comparing dive data with different sampling frequencies and for improving the quality and the accuracy of transmitted data. |
format |
Dataset |
author |
Morgan Godard Claude Manté Christophe Guinet Baptiste Picard David Nerini |
author_facet |
Morgan Godard Claude Manté Christophe Guinet Baptiste Picard David Nerini |
author_sort |
Morgan Godard |
title |
Data_Sheet_1_Diving Behavior of Mirounga leonina: A Functional Data Analysis Approach.pdf |
title_short |
Data_Sheet_1_Diving Behavior of Mirounga leonina: A Functional Data Analysis Approach.pdf |
title_full |
Data_Sheet_1_Diving Behavior of Mirounga leonina: A Functional Data Analysis Approach.pdf |
title_fullStr |
Data_Sheet_1_Diving Behavior of Mirounga leonina: A Functional Data Analysis Approach.pdf |
title_full_unstemmed |
Data_Sheet_1_Diving Behavior of Mirounga leonina: A Functional Data Analysis Approach.pdf |
title_sort |
data_sheet_1_diving behavior of mirounga leonina: a functional data analysis approach.pdf |
publishDate |
2020 |
url |
https://doi.org/10.3389/fmars.2020.00595.s001 https://figshare.com/articles/dataset/Data_Sheet_1_Diving_Behavior_of_Mirounga_leonina_A_Functional_Data_Analysis_Approach_pdf/12987044 |
genre |
Elephant Seals Mirounga leonina Southern Elephant Seals |
genre_facet |
Elephant Seals Mirounga leonina Southern Elephant Seals |
op_relation |
doi:10.3389/fmars.2020.00595.s001 https://figshare.com/articles/dataset/Data_Sheet_1_Diving_Behavior_of_Mirounga_leonina_A_Functional_Data_Analysis_Approach_pdf/12987044 |
op_doi |
https://doi.org/10.3389/fmars.2020.00595.s001 |
_version_ |
1766401548371361792 |