DOI: 10.5061/dryad.12jm63zbn
title: Data from: Improving manual tagging of camera trap videos for wildlife studies: A visual assistance tool applied to the endangered huillã­n (<em>Lontra provocax</em>)

description: In the last few decades, the use of camera traps for wildlife studies has
 increased significantly due to advancements in technology, leading to cost
 reduction and improved reliability. They facilitate the study of wild
 animals in their natural environment in a minimally invasive manner,
 eliminating the need for researchers to remain in the field for long
 periods of time and to stay alert for extended hours. While their use is
 not too complex, data analysis often represents a bottleneck that demands
 considerable effort. When cameras are used to obtain videos, the first
 step upon retrieving information from them is to sort the videos, name
 them in a standardized manner, identify the content of each file, and
 label them to organize the information for subsequent data analysis. This
 process is laborious and repetitive, often leading to human errors that
 later hinder analysis. In this work, an easy-to-use, customizable
 semi-automated video processing and tagging software is presented
 alongside camera trap data analysis from sites used by an endangered otter
 species (Lontra provocax). With its use, we were able to process over
 three thousand video files in a short time, finding that in the area under
 study (Nahuel Huapi National Park) all otter sites were also used by
 american minks, foxes, domestic dogs and cats. In a particular site a
 detailed analysis provided data showing a nocturnal pattern of use for the
 site. When compared to manual data processing the semi-automated process
 improved efficiency, overall user experience, and reduced the cognitive
 load associated with manual tagging. The aim of this work was to develop a
 versatile and user-friendly yet powerful solution to the typical tasks
 associated with the analysis of camera trap videos. The dataset provides
 supporting data for the results presented in the article. It cosnsists of
 the data asociated to each figure and table in the paper. All data are
 related to the analysis of video files obtained from trail
 cameras. 
description: # Data from: Improving manual tagging of camera trap videos for wildlife
 studies: A visual assistance tool applied to the endangered huillã­n
 (*Lontra provocax*) Dataset DOI:
 [10.5061/dryad.12jm63zbn](https://doi.org/10.5061/dryad.12jm63zbn) ##
 Description of the data and file structure The data were collected to
 understand the usefulness of CAICaT, a program aimed at assisting users in
 processing and labeling camera trap videos ### Files and variables ####
 File: CAICaT_processed_data.csv **Description:** This file contains the
 media data for 3000+ videos obtained with camera traps located at sites
 known to be used by huillines, and endangered South American river otter
 (no coordinates are provided to protect these endangered animals). The
 column "Taxon present" indicates the animal tag that was
 observed in the video. Setup refers to the presence of researchers while
 setting up or removing the cameras. These data were also used to generate
 the graphs in Figure 6 of the corresponding manuscript. The value
 "n/a" refers to data "not avilable" for columns
 "sunrise", "sunset", and "photoperiodic
 phase", corresponding to older datasets for which these data were not
 collected. ##### Variables * Taxon present in file, count, Site, Camera,
 Year, Month, Day, Hours, Minutes, and Photoperiodic phase #### File:
 Comparison_Manual_vs_CAICaT.csv **Description:** Data from an experiment
 with 6 volunteers that processed 60 files manually and with the aid of
 CAICaT. The data represents the total time taken to process the files
 manually or with the software. These data were used to generate figure 4
 of the paper. ##### Variables * Independent: Tester * Dependent: Time
 taken in manual mode, Time taken using CAICaT #### File:
 Data_for_table2.csv **Description:** These data represent a summary of the
 data presented in CAICaT_processed_data.xlsx, and was used as table2 in
 the paper ##### Variables * Independent: sites (BLE01, BLE02, LIM0, LIM02,
 LIM03, LIM04, LPT0, LPT02, LPT03, LPT04 * Dependent: Number of events
 triggered by a certain animal or situation #### File: Error_Data.csv
 **Description:** Data used to calculate the errors when using CAICaT as an
 assistance to process and tag videos from camera traps. In this case 1000+
 videos were processed by two different users and 200 of those were
 randomly selected as ground truth by manually processing them and
 carefully confirming the triggering cause. \ The table contains the data
 for those 200 videos for both users and the errors each one had. An error
 is marked by a value of 1 and no error by a value of 0 in the error
 columns. The value "n/a" refers to data "not avilable"
 for data form files that were not analysed by the corresponding user.
 ##### Variables * Index, Video hash, tag_gt (ground truth), tag_u1 (user
 1), tag_u2 (user 2), error_u1, error_u2 #### File:
 Responses_to_questionaire.xlsx **Description:** This file contains th
 responses of the volunteers that used CAICaT for the comparisson between
 assisted and manual mode, to a questionaire aimed at evaluating the
 usefulness of the software. The value "n/a" refers to data
 "not avilable" for questions that were not answered by the
 participants. ##### Variables * Q1: How difficult was it for you to
 process the images provided using the CAICaT method? * Q2: How difficult
 was it for you to process the images provided using the manual method? *
 Q3: Considering that in the trial you processed 30 images using the CAICaT
 method, how many images do you think you could process continuously
 without getting tired? * Q4: Considering that in the trial you processed
 30 images using the manual method, how many images do you think you could
 process continuously without getting tired? * Q5: What advantages and
 disadvantages do you identify for each method? * Q6: For processing camera
 trap videos, how useful do you find the CAICaT method? * Q7: If you work
 with camera traps, would you use the CAICaT method to analyze the videos
 obtained? * Q8: Would you add, remove, or modify anything in the CAICaT
 method? * Q9: Comments ## Code/software Any software capable of reading
 and analyzing xlsx files can be used to view our data. We used Excel 2019
 on a Windows 11 computer. ## Access information Other publicly accessible
 locations of the data: * No other accessible locations of the data except
 by asking for it to the authors