Data from: 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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ftdans:oai:easy.dans.knaw.nl:easy-dataset:104349 2023-07-02T03:29:58+02:00 Data from: Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project Jones, Fiona M. Allen, Campbell Arteta, Carlos Arthur, Joan Black, Caitlin Emmerson, Louise M. Freeman, Robin Hines, Greg Lintott, Chris J. Macháĉková, Zuzana Miller, Grant Simpson, Rob Southwell, Colin Torsey, Holly R. Zisserman, Andrew Hart, Tom 2018-06-21T07:18:42.000+02:00 http://nbn-resolving.org/urn:nbn:nl:ui:13-a6-rd29 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:104349 unknown doi:10.5061/dryad.vv36g/4 doi:10.5061/dryad.vv36g/5 doi:10.5061/dryad.vv36g/6 doi:10.5061/dryad.vv36g/7 doi:10.5061/dryad.vv36g/8 doi:10.5061/dryad.vv36g/9 doi:10.5061/dryad.vv36g/10 doi:10.1038/sdata.2018.124 http://nbn-resolving.org/urn:nbn:nl:ui:13-a6-rd29 doi:10.5061/dryad.vv36g https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:104349 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Life sciences medicine and health care 2018 ftdans https://doi.org/10.5061/dryad.vv36g/410.5061/dryad.vv36g/510.5061/dryad.vv36g/610.5061/dryad.vv36g/710.5061/dryad.vv36g/810.5061/dryad.vv36g/910.5061/dryad.vv36g/1010.1038/sdata.2018.12410.5061/dryad.vv36g 2023-06-13T13:29:48Z 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. Other/Unknown Material Antarc* Antarctic Antarctic Peninsula South Shetland Islands Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) Antarctic Antarctic Peninsula South Shetland Islands The Antarctic |
institution |
Open Polar |
collection |
Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) |
op_collection_id |
ftdans |
language |
unknown |
topic |
Life sciences medicine and health care |
spellingShingle |
Life sciences medicine and health care Jones, Fiona M. Allen, Campbell Arteta, Carlos Arthur, Joan Black, Caitlin Emmerson, Louise M. Freeman, Robin Hines, Greg Lintott, Chris J. Macháĉková, Zuzana Miller, Grant Simpson, Rob Southwell, Colin Torsey, Holly R. Zisserman, Andrew Hart, Tom Data from: Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project |
topic_facet |
Life sciences medicine and health care |
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. |
author |
Jones, Fiona M. Allen, Campbell Arteta, Carlos Arthur, Joan Black, Caitlin Emmerson, Louise M. Freeman, Robin Hines, Greg Lintott, Chris J. Macháĉková, Zuzana Miller, Grant Simpson, Rob Southwell, Colin Torsey, Holly R. Zisserman, Andrew Hart, Tom |
author_facet |
Jones, Fiona M. Allen, Campbell Arteta, Carlos Arthur, Joan Black, Caitlin Emmerson, Louise M. Freeman, Robin Hines, Greg Lintott, Chris J. Macháĉková, Zuzana Miller, Grant Simpson, Rob Southwell, Colin Torsey, Holly R. Zisserman, Andrew Hart, Tom |
author_sort |
Jones, Fiona M. |
title |
Data from: Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project |
title_short |
Data from: Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project |
title_full |
Data from: Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project |
title_fullStr |
Data from: Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project |
title_full_unstemmed |
Data from: Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project |
title_sort |
data from: time-lapse imagery and volunteer classifications from the zooniverse penguin watch project |
publishDate |
2018 |
url |
http://nbn-resolving.org/urn:nbn:nl:ui:13-a6-rd29 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:104349 |
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:10.5061/dryad.vv36g/4 doi:10.5061/dryad.vv36g/5 doi:10.5061/dryad.vv36g/6 doi:10.5061/dryad.vv36g/7 doi:10.5061/dryad.vv36g/8 doi:10.5061/dryad.vv36g/9 doi:10.5061/dryad.vv36g/10 doi:10.1038/sdata.2018.124 http://nbn-resolving.org/urn:nbn:nl:ui:13-a6-rd29 doi:10.5061/dryad.vv36g https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:104349 |
op_rights |
OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf |
op_doi |
https://doi.org/10.5061/dryad.vv36g/410.5061/dryad.vv36g/510.5061/dryad.vv36g/610.5061/dryad.vv36g/710.5061/dryad.vv36g/810.5061/dryad.vv36g/910.5061/dryad.vv36g/1010.1038/sdata.2018.12410.5061/dryad.vv36g |
_version_ |
1770273876039696384 |