Data from: Expert, crowd, students or algorithm: who holds the key to deep-sea imagery ‘big data’ processing?

Matabos M, Hoeberechts M, Doya C, Aguzzi J, Nephin J, Reimchen TE, Leaver S, Marx RM, Branzan Albu A, Fier R, Fernandez-Arcaya U, Juniper SK

Date Published: February 1, 2017

DOI: http://dx.doi.org/10.5061/dryad.98g01

 

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Title expert_data
Downloaded 12 times
Description Contains all the data acquired by the PhD student referred as the expert. Details of the columns are as follows: Date: Date of video acquisition Time: Time of video acquisition Counts: Number of sablefish in the video MatchDateTime: Date and Time used to match the counts among the different groups
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Title crowd_data
Downloaded 11 times
Description Contains all the data acquired by Citizen Scientists using the Digital Fisher crowdsourcing platform. Details of the columns are as follows: UserID: unique ID attributed to each observer in the Ocean Networks Canada digital infrastructure database. Date: Date of video acquisition Time: Time of video acquisition Counts: Number of sablefish in the video MatchDateTime: Date and Time used to match the counts among the different groups
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Title algorithm_data
Downloaded 5 times
Description Contains all the data acquired using the computer vision algorithm. Details of the columns are as follows: Video: Name of the video in the Ocean Networks Canada digital infrastructure database. Date: Date of video acquisition Time: Time of video acquisition Counts: Number of sablefish in the video MatchDateTime: Date and Time used to match the counts among the different groups
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Title students_data
Downloaded 5 times
Description Contains all the data acquired by the group of students. Details of the columns are as follows: UserID: unique ID attributed to each observer in the Ocean Networks Canada digital infrastructure database. Date: Date of video acquisition Time: Time of video acquisition Counts: Number of sablefish in the video MatchDateTime: Date and Time used to match the counts among the different groups
Download students_data.csv (173.3 Kb)
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When using this data, please cite the original publication:

Matabos M, Hoeberechts M, Doya C, Aguzzi J, Nephin J, Reimchen TE, Leaver S, Marx RM, Branzan Albu A, Fier R, Fernandez-Arcaya U, Juniper SK (2017) Expert, Crowd, Students or Algorithm: who holds the key to deep-sea imagery ‘big data’ processing?. Methods in Ecology and Evolution 8(8): 996-1004. http://dx.doi.org/10.1111/2041-210x.12746

Additionally, please cite the Dryad data package:

Matabos M, Hoeberechts M, Doya C, Aguzzi J, Nephin J, Reimchen TE, Leaver S, Marx RM, Branzan Albu A, Fier R, Fernandez-Arcaya U, Juniper SK (2017) Data from: Expert, crowd, students or algorithm: who holds the key to deep-sea imagery ‘big data’ processing? Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.98g01
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