Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project
Automated time-lapse cameras can facilitate reliable and consistent monitoring of wild animal populations. In this report, data from 73,802 images taken by 15 different Penguin Watch cameras are presented, capturing the dynamics of penguin (Spheniscidae; Pygoscelis spp.) breeding colonies across the...
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Springer Nature
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Online Access: | https://doi.org/10.1038/sdata.2018.124 https://ora.ox.ac.uk/objects/uuid:3a43c822-c4bf-4c07-bd27-26f5071c4c6f |
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ftuloxford:oai:ora.ox.ac.uk:uuid:3a43c822-c4bf-4c07-bd27-26f5071c4c6f 2024-10-06T13:42:45+00:00 Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project Jones, F Allen, C Arteta, C Black, C Emmerson, L Freeman, R Hines, G Lintott, C Miller, G Simpson, R Southwell, C Zisserman, A Hart, T 2018-04-30 https://doi.org/10.1038/sdata.2018.124 https://ora.ox.ac.uk/objects/uuid:3a43c822-c4bf-4c07-bd27-26f5071c4c6f unknown Springer Nature doi:10.1038/sdata.2018.124 https://ora.ox.ac.uk/objects/uuid:3a43c822-c4bf-4c07-bd27-26f5071c4c6f https://doi.org/10.1038/sdata.2018.124 info:eu-repo/semantics/openAccess CC Attribution (CC BY) Journal article 2018 ftuloxford https://doi.org/10.1038/sdata.2018.124 2024-09-06T07:47:31Z Automated time-lapse cameras can facilitate reliable and consistent monitoring of wild animal populations. In this report, data from 73,802 images taken by 15 different Penguin Watch cameras are presented, capturing the dynamics of penguin (Spheniscidae; Pygoscelis spp.) breeding colonies across the Antarctic Peninsula, South Shetland Islands and South Georgia (03/2012 to 01/2014). Citizen science provides a means by which large and otherwise intractable photographic data sets can be processed, and here we describe the methodology associated with the Zooniverse project Penguin Watch, and provide validation of the method. We present anonymised volunteer classifications for the 73,802 images, alongside the associated metadata (including date/time and temperature information). In addition to the benefits for ecological monitoring, such as easy detection of animal attendance patterns, this type of annotated time-lapse imagery can be employed as a training tool for machine learning algorithms to automate data extraction, and we encourage the use of this data set for computer vision development. Article in Journal/Newspaper Antarc* Antarctic Antarctic Peninsula South Shetland Islands ORA - Oxford University Research Archive Antarctic Antarctic Peninsula South Shetland Islands The Antarctic Scientific Data 5 1 |
institution |
Open Polar |
collection |
ORA - Oxford University Research Archive |
op_collection_id |
ftuloxford |
language |
unknown |
description |
Automated time-lapse cameras can facilitate reliable and consistent monitoring of wild animal populations. In this report, data from 73,802 images taken by 15 different Penguin Watch cameras are presented, capturing the dynamics of penguin (Spheniscidae; Pygoscelis spp.) breeding colonies across the Antarctic Peninsula, South Shetland Islands and South Georgia (03/2012 to 01/2014). Citizen science provides a means by which large and otherwise intractable photographic data sets can be processed, and here we describe the methodology associated with the Zooniverse project Penguin Watch, and provide validation of the method. We present anonymised volunteer classifications for the 73,802 images, alongside the associated metadata (including date/time and temperature information). In addition to the benefits for ecological monitoring, such as easy detection of animal attendance patterns, this type of annotated time-lapse imagery can be employed as a training tool for machine learning algorithms to automate data extraction, and we encourage the use of this data set for computer vision development. |
format |
Article in Journal/Newspaper |
author |
Jones, F Allen, C Arteta, C Black, C Emmerson, L Freeman, R Hines, G Lintott, C Miller, G Simpson, R Southwell, C Zisserman, A Hart, T |
spellingShingle |
Jones, F Allen, C Arteta, C Black, C Emmerson, L Freeman, R Hines, G Lintott, C Miller, G Simpson, R Southwell, C Zisserman, A Hart, T Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project |
author_facet |
Jones, F Allen, C Arteta, C Black, C Emmerson, L Freeman, R Hines, G Lintott, C Miller, G Simpson, R Southwell, C Zisserman, A Hart, T |
author_sort |
Jones, F |
title |
Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project |
title_short |
Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project |
title_full |
Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project |
title_fullStr |
Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project |
title_full_unstemmed |
Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project |
title_sort |
time-lapse imagery and volunteer classifications from the zooniverse penguin watch project |
publisher |
Springer Nature |
publishDate |
2018 |
url |
https://doi.org/10.1038/sdata.2018.124 https://ora.ox.ac.uk/objects/uuid:3a43c822-c4bf-4c07-bd27-26f5071c4c6f |
geographic |
Antarctic Antarctic Peninsula South Shetland Islands The Antarctic |
geographic_facet |
Antarctic Antarctic Peninsula South Shetland Islands The Antarctic |
genre |
Antarc* Antarctic Antarctic Peninsula South Shetland Islands |
genre_facet |
Antarc* Antarctic Antarctic Peninsula South Shetland Islands |
op_relation |
doi:10.1038/sdata.2018.124 https://ora.ox.ac.uk/objects/uuid:3a43c822-c4bf-4c07-bd27-26f5071c4c6f https://doi.org/10.1038/sdata.2018.124 |
op_rights |
info:eu-repo/semantics/openAccess CC Attribution (CC BY) |
op_doi |
https://doi.org/10.1038/sdata.2018.124 |
container_title |
Scientific Data |
container_volume |
5 |
container_issue |
1 |
_version_ |
1812177021939220480 |