AI training data set for Moon crater annotation with Crowd Science via a videogame

Overview This is the additional data for the paper 'Generating an AI training data set for Moon crater annotation with Crowd Science via a videogame' by Stephan Jacob* ([e-mail]), Paul Nasdalack ([e-mail]) and Marius Schwinning * main corresponding author Files All files contain data from the October 12th 2025. New data may be available, please contact the authors if you need further information 1_250912_craters_merged.csv This file contains the processed and merged craters with information about the NAC Tile they have marked and pixel offsets to the specific tile and within the tile. To get the final coordinate within the NAC Image, add the corresponding x and y values up to get an absolute coordinate. Additionally the file contains a confidence score based on how many users have contributed to a crater and how well they were marking. This can serve as a threshold value to filter out low confidence craters. 2_250912_craters_usersubmitted.csv This file contains the unprocessed user submitted craters with information about the NAC Tile they have marked and pixel offsets to the specific tile and within the tile. To get the final coordinate within the NAC Image, add the corresponding x and y values up to get an absolute coordinate 3_250912_users.csv This file contains information on the users, how many craters they have submitted and their final accuracy score