Data from: Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project

• Main Authors: 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
• Format: Dataset
• Language: unknown
• Published: Data Archiving and Networked Services (DANS) 2019
• Subjects: Life sciences; medicine and health care; Ecological monitoring; Time-lapse; Citizen science; Computer vision; Antarctica; Antarctic Peninsula; Southern Ocean; South Georgia Island; South Shetland Islands; Spheniscidae; Pygoscelis; Pygoscelis adeliae; Pygoscelis antarcticus; Pygoscelis papua; geo; info; Antarctic; The Antarctic; Neko; Petermann Island; Neko Harbour; Antarc*; antarcticus
• Online Access: https://doi.org/10.5061/dryad.vv36g; https://doi.org/10.5061/dryad.vv36g.2; https://doi.org/10.5061/dryad.vv36g.1

Automated time-lapse cameras can facilitate reliable and consistent monitoring of wild animal populations. In this report, data from 63,070 images taken by 14 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 63,070 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 machi ne learning algorithms to automate data extraction, and we encourage the use of this data set for computer vision development. Raw images - NEKORaw image (JPEG) files for photographs captured in NEKO Harbour (NEKO). There are 6 folders in total (images are separated by camera and year). Date, time, moon phase and temperature are shown within each image. Image names are in the following format: SITExYEARx_imagenumber.JPG. Please see the associated paper for more information.Raw_images_NEKO.zipRaw images - PETE.1Raw images (JPEG) files for photographs captured on Petermann Island (PETE). There are 2 folders in total (images are separated by year); additional PETE images can be found in 'PETE.2'. Date, time, moon phase and temperature are shown within each image. Image names are in the following format: SITExYEARx_imagenumber.JPG. Please see the associated paper for more information.Raw_images_PETE.1.zipRaw images - PETE.2Raw image (JPEG) files for photographs captured on Petermann Island (PETE). There are 2 folders in total (images are separated by ...