6 research outputs found

    Proportion of mortality data for terrestrial systems

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    A data file with proportion of mortality data for terrestrial systems, used for generating Fig 1B. All cases include paired mortality estimates of humans and non-human predators on shared prey. This dataset includes a total of 99 cases, including cases from the larger predrate file (n=51) that have proportion of biomass estimates as well as cases (n=48) with only proportion of mortality estimates. This dataset is formatted for paired comparisons (wide format) and is included as a separate data file for convenience. Please see the ReadMe file for more information

    R Code for human predator data analyses

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    An R file that includes code for generating the figures and analyses in the manuscrip

    expert_data

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    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 group

    crowd_data

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    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 group

    students_data

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    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 group

    algorithm_data

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    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 group
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