This updated zip file contains the necessary codes and data files to reproduce all the findings presented in the submitted and revised manuscript "The Role of Time, Weather and Google Trends in Understanding and Predicting Web Survey Response" (original title: "Effects of Time-Varying Predictors on Web Survey Response") by Qixiang Fang, Joep Burger, Ralph Meijers and Kees van Berkel. Compared with the last one, this new version no longer contains the parts related to the analysis of time-fixed effects, as these parts have also been left out in the revised manuscript. In the "Google Trends Data Retrievel and Calibration" folder, you can find two R code files. Using the "Daily GT Data Retrieval.R" file, you can download the Google Trends data we used for the study. Using the "Calibrate GT Data.R" file, you can see how we calibrated the raw Google Trends data. In the "Main Analysis and Plots" folder, you can find the data and R codes necessary to reproduce all of the analysis results and plots we presented. Check out the "README.txt" file under this folder for more information.