Accelerometer-depth data accompanying the VANTAGE data visualization application

VANTAGE is an open-source application developed in Python to facilitate the simultaneous viewing of video and other time-series data, available at : github.com/sschoombie/VANTAGE An example data set is provided that can be used with the tutorials that are available with the application. The data set...

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Bibliographic Details
Main Author: Stefan Schoombie
Format: Dataset
Language:unknown
Published: 2024
Subjects:
Online Access:https://doi.org/10.25375/uct.25415857.v1
https://figshare.com/articles/dataset/Accelerometer-depth_data_accompanying_the_VANTAGE_data_visualization_application/25415857
id ftunicapetownfig:oai:figshare.com:article/25415857
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spelling ftunicapetownfig:oai:figshare.com:article/25415857 2024-04-14T08:10:23+00:00 Accelerometer-depth data accompanying the VANTAGE data visualization application Stefan Schoombie 2024-03-20T06:23:17Z https://doi.org/10.25375/uct.25415857.v1 https://figshare.com/articles/dataset/Accelerometer-depth_data_accompanying_the_VANTAGE_data_visualization_application/25415857 unknown doi:10.25375/uct.25415857.v1 https://figshare.com/articles/dataset/Accelerometer-depth_data_accompanying_the_VANTAGE_data_visualization_application/25415857 CC BY 4.0 Stream and sensor data python GUI application penguin accelerometer video machine learning Dataset 2024 ftunicapetownfig https://doi.org/10.25375/uct.25415857.v1 2024-03-21T17:53:14Z VANTAGE is an open-source application developed in Python to facilitate the simultaneous viewing of video and other time-series data, available at : github.com/sschoombie/VANTAGE An example data set is provided that can be used with the tutorials that are available with the application. The data set contains two videos (one calibration and one at-sea video) and a time-series data file with accelerometer and depth data recorded by a Chinstrap Penguin. Dataset Chinstrap penguin University of Cape Town: Figshare
institution Open Polar
collection University of Cape Town: Figshare
op_collection_id ftunicapetownfig
language unknown
topic Stream and sensor data
python GUI application
penguin
accelerometer
video
machine learning
spellingShingle Stream and sensor data
python GUI application
penguin
accelerometer
video
machine learning
Stefan Schoombie
Accelerometer-depth data accompanying the VANTAGE data visualization application
topic_facet Stream and sensor data
python GUI application
penguin
accelerometer
video
machine learning
description VANTAGE is an open-source application developed in Python to facilitate the simultaneous viewing of video and other time-series data, available at : github.com/sschoombie/VANTAGE An example data set is provided that can be used with the tutorials that are available with the application. The data set contains two videos (one calibration and one at-sea video) and a time-series data file with accelerometer and depth data recorded by a Chinstrap Penguin.
format Dataset
author Stefan Schoombie
author_facet Stefan Schoombie
author_sort Stefan Schoombie
title Accelerometer-depth data accompanying the VANTAGE data visualization application
title_short Accelerometer-depth data accompanying the VANTAGE data visualization application
title_full Accelerometer-depth data accompanying the VANTAGE data visualization application
title_fullStr Accelerometer-depth data accompanying the VANTAGE data visualization application
title_full_unstemmed Accelerometer-depth data accompanying the VANTAGE data visualization application
title_sort accelerometer-depth data accompanying the vantage data visualization application
publishDate 2024
url https://doi.org/10.25375/uct.25415857.v1
https://figshare.com/articles/dataset/Accelerometer-depth_data_accompanying_the_VANTAGE_data_visualization_application/25415857
genre Chinstrap penguin
genre_facet Chinstrap penguin
op_relation doi:10.25375/uct.25415857.v1
https://figshare.com/articles/dataset/Accelerometer-depth_data_accompanying_the_VANTAGE_data_visualization_application/25415857
op_rights CC BY 4.0
op_doi https://doi.org/10.25375/uct.25415857.v1
_version_ 1796307951937388544