README

Title:
Towards reliable estimates of abundance trends using automated non-lethal moth traps.

Authors:
Jonas Mielke Möglich[1], Patrick Lampe[2], Mario Fickus[1], Sohaib Younis[2], Jannis Gottwald[3], Thomas Nauss[3], Roland Brandl[1], Martin Brändle[1], Nicolas Friess[3], Bernd Freisleben[2], Lea Heidrich[1]

Affiliations:
[1] Department of Biology, Philipps-Universität Marburg, Karl-von-Frisch-Straße 8, 35043 Marburg, Germany 

[2] Department of Mathematics and Computer Science, Philipps-Universität Marburg, Hans-Meerwein-Straße 6, 35043 Marburg, Germany

[3] Department of Geography, Philipps-Universität Marburg, Deutschhausstraße 12, 35037 Marburg, Germany

Date: 
21.06.2023

Language: 
English

Document type:
TAR files (.tar), JPG files (.jpg), R project file (.Rproj), R data files (.RData), R markdown files (.Rmd), CSV files (.csv), PDF files (.pdf), XML file (.xml), HTML file (.html) and text file (.txt)

Keywords: 
Marburg Open Forest, Automated Moth Trap, AMT, pictures

Description:
The dataset includes pictures taken with our automated moth trap (AMT) in the university forest of the Philipps University of Marburg (Marburg Open Forest) near Caldern in Hesse, Germany.  Eight AMTs were were operated five times on 16 plots from the beginning of July 2021 to the end of August 2021. Moths were attracted via a LED-UV tube and then rested on an illuminated white LED-board. An oppositely placed camera box took pictures of the resting moths with an 5MP Raspberry Pi-camera. The AMTs were scheduled to take photos every 30 s between 10 p.m. and 6:00 a.m. The files are named according to the recording date using the following naming convention: image_picture number_year month day_hour minute second (e.g. im_0163_20210720_232554). Additonally, our statistical analysis in R and datasets used for our publication are included (AMT_vs_CON.tar).

The datasets that are available here contain the following files:

[1] README.txt: metadata
[2] example_pictures_AMT.tar: A selection of 110 pictures as.jpg files taken with our AMT. 
[3] AMT_21_Round_1.tar: All jpg files taken with our AMT and used in our analysis in the first sampling round.
[4] AMT_21_Round_2.tar: All jpg files taken with our AMT and used in our analysis in the second sampling round.
[5] AMT_21_Round_3.tar: All jpg files taken with our AMT and used in our analysis in the third sampling round.
[6] AMT_21_Round_4.tar: All jpg files taken with our AMT and used in our analysis in the fourth sampling round.
[7] AMT_21_Round_5.tar: All jpg files taken with our AMT and used in our analysis in the fifth sampling round.
[8] AMT_vs_CON.tar: Statistical analysis in R and respective datasets.