Shores_2019_data_Figure_4_Table_2_Mesopredator and apex predator activity records from game cameras_GLMM
datasetposted on 08.05.2019 by Carolyn Shores, Justin Dellinger, Eric Newkirk, Aaron Wirsing
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Data of recorded species observations from game cameras. Description of columns in .csv file: Location = unique identifier corresponding to each camera location; study_area: Categorical variable identifying 1 of 4 study areas, N = Nc’icn (wolf area), S = Strawberry (wolf area), B = Bonaparte (non-wolf area), A = Aeneas (non-wolf area); date: unique identifier corresponding to dates starting with 0 = May 1, 2013 and 1095 = April 30, 2016; time_cat: time category of either night, dawn, day or dusk; season: winter or summer; bobcat/coyote/human/wolf_activity: number of photographs of the identified species indexed by time category, date, and camera sampling location; day: fraction of a day represented by each time category. This column is used in the model offset to account for the varying amount of time (10 hours vs. 2 hours) in the different time categories; wolf_presence: yes or no for whether a wolf pack was present in the study area.