Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project
Abstract 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...
Published in: | Scientific Data |
---|---|
Main Authors: | , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Springer Science and Business Media LLC
2018
|
Subjects: | |
Online Access: | http://dx.doi.org/10.1038/sdata.2018.124 http://www.nature.com/articles/sdata2018124.pdf http://www.nature.com/articles/sdata2018124 |
id |
crspringernat:10.1038/sdata.2018.124 |
---|---|
record_format |
openpolar |
spelling |
crspringernat:10.1038/sdata.2018.124 2023-05-15T14:11:08+02:00 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. Macháčková, Zuzana Miller, Grant Simpson, Rob Southwell, Colin Torsey, Holly R. Zisserman, Andrew Hart, Tom 2018 http://dx.doi.org/10.1038/sdata.2018.124 http://www.nature.com/articles/sdata2018124.pdf http://www.nature.com/articles/sdata2018124 en eng Springer Science and Business Media LLC https://creativecommons.org/licenses/by/4.0 https://creativecommons.org/licenses/by/4.0 CC-BY Scientific Data volume 5, issue 1 ISSN 2052-4463 Library and Information Sciences Statistics, Probability and Uncertainty Computer Science Applications Education Information Systems Statistics and Probability journal-article 2018 crspringernat https://doi.org/10.1038/sdata.2018.124 2022-01-04T15:23:20Z Abstract 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 Springer Nature (via Crossref) Antarctic The Antarctic Antarctic Peninsula South Shetland Islands Scientific Data 5 1 |
institution |
Open Polar |
collection |
Springer Nature (via Crossref) |
op_collection_id |
crspringernat |
language |
English |
topic |
Library and Information Sciences Statistics, Probability and Uncertainty Computer Science Applications Education Information Systems Statistics and Probability |
spellingShingle |
Library and Information Sciences Statistics, Probability and Uncertainty Computer Science Applications Education Information Systems Statistics and Probability Jones, Fiona M. Allen, Campbell Arteta, Carlos Arthur, Joan Black, Caitlin Emmerson, Louise M. Freeman, Robin Hines, Greg Lintott, Chris J. Macháčková, Zuzana Miller, Grant Simpson, Rob Southwell, Colin Torsey, Holly R. Zisserman, Andrew Hart, Tom Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project |
topic_facet |
Library and Information Sciences Statistics, Probability and Uncertainty Computer Science Applications Education Information Systems Statistics and Probability |
description |
Abstract 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, Fiona M. Allen, Campbell Arteta, Carlos Arthur, Joan Black, Caitlin Emmerson, Louise M. Freeman, Robin Hines, Greg Lintott, Chris J. Macháčková, 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. Macháčková, Zuzana Miller, Grant Simpson, Rob Southwell, Colin Torsey, Holly R. Zisserman, Andrew Hart, Tom |
author_sort |
Jones, Fiona M. |
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 Science and Business Media LLC |
publishDate |
2018 |
url |
http://dx.doi.org/10.1038/sdata.2018.124 http://www.nature.com/articles/sdata2018124.pdf http://www.nature.com/articles/sdata2018124 |
geographic |
Antarctic The Antarctic Antarctic Peninsula South Shetland Islands |
geographic_facet |
Antarctic The Antarctic Antarctic Peninsula South Shetland Islands |
genre |
Antarc* Antarctic Antarctic Peninsula South Shetland Islands |
genre_facet |
Antarc* Antarctic Antarctic Peninsula South Shetland Islands |
op_source |
Scientific Data volume 5, issue 1 ISSN 2052-4463 |
op_rights |
https://creativecommons.org/licenses/by/4.0 https://creativecommons.org/licenses/by/4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1038/sdata.2018.124 |
container_title |
Scientific Data |
container_volume |
5 |
container_issue |
1 |
_version_ |
1766283255056695296 |