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Dataset / Seal Sleep Capstone

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Title
Seal Sleep Capstone
Contributor
Basic, Tarik
Rajput, Yousuf W.
Song, Melody Q.
Sorenson, Michael A.
Tarif, Tarek R.
Date Created and/or Issued
2024-01-15 to 2024-06-07
Contributing Institution
UC San Diego, Research Data Curation Program
Collection
Data Science & Engineering Master of Advanced Study (DSE MAS) Capstone Projects
Rights Information
Under copyright
Constraint(s) on Use: This work is protected by the U.S. Copyright Law (Title 17, U.S.C.). Use of this work beyond that allowed by "fair use" or any license applied to this work requires written permission of the copyright holder(s). Responsibility for obtaining permissions and any use and distribution of this work rests exclusively with the user and not the UC San Diego Library. Inquiries can be made to the UC San Diego Library program having custody of the work.
Use: This work is available from the UC San Diego Library. This digital copy of the work is intended to support research, teaching, and private study.
Rights Holder and Contact
Sorenson, Michael A.; Song, Melody Q.; Basic, Tarik; Rajput, Yousuf W.; Tarif, Tarek R.
Description
As part of the DSE MAS Data Science program, we constructed a project with the goal of to develop a machine learning framework capable of accurately classifying sleep states in Northern Elephant Seals. The data used included electrophysiological and motion data collected from the seals, comprising EEG (electroencephalogram) and ECG (electrocardiogram) signals, along with motion data from gyroscopes and pressure sensors. These data were gathered using custom non-invasive head caps and waterproof housings and were manually labeled for sleep, behavioral, and respiratory stages by experts. The raw signal data was provided in EDF format, and the labels were in CSV files with corresponding timestamps. This rich dataset enabled the extraction of key features necessary for training and evaluating the machine learning models.
Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp)
This project relies on external software packages, modules/libraries, or programs, use of which may carry specific license requirements. Users should comply with any licenses specified within the contents of this project.
Sorenson, Michael A.; Song, Melody Q.; Basic, Tarik; Rajput, Yousuf W.; Tarif, Tarek R.; Kendall-Bar, Jessica; Altintas De Callafon, Ilkay (2024). Seal Sleep Capstone. In Data Science & Engineering Master of Advanced Study (DSE MAS) Capstone Projects. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0R49QZ9
Download input data from Kendall-Bar, Jessica et al. (2023). Data for: Brain activity of diving seals reveals short sleep cycles at depth . Dryad. https://doi.org/10.7291/D1ZT2B. The data is a set of raw .edf files containing data on seals; seals are split by name (e.g. "test12_Wednesday") and each file is split by day (e.g. "DAY0", "DAY1", "DAY2", etc.). Each seal also has its own hypnogram file, containing sleep labels per second.
Type
dataset
Identifier
ark:/20775/bb8374340w
Language
English
Subject
Electrophysiology
Marine biology
Task: Feature extraction
Task: Classification
Capstone projects
Polysomnography
Data Science & Engineering Master of Advanced Study (DSE MAS)
Biological sciences
Ecology
Northern elephant seals
Behavioral analysis
Sleep classification
Neurophysiology
Machine learning
DSE MAS - 2024 Cohort

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