READ ME ======================== General information ======================== Author: Christopher Harrison Contact: christopher.harrison@newcastle.ac.uk DOI: To Be Confirmed License: Last updated: 05/09/2022 Related article: Tucker-Brown, Harrison, Zanella, Trayford et al. 2022, MNRAS (volume/page to be confirmed, paper accepted subject to minor corrections) ======================== Introductory information ======================== Files included in the data deposit (include a short description of what data are contained): 1) TuckerBrown_Astronify_plots.zip Zip file of 18 image files and one explanation text file. These are the 18 visualisations of the light curves presented to the volunteer participants (as described in Tucker-Brown et al.) 2) TuckerBrown_Astronify_sonifications.zip Zip file of 18 sound files and one explanation text file. These are the 18 sonifications of the light curves presented to the volunteer participants (as described in Tucker-Brown et al.) 3) TuckerBrown_Astronify_data.zip Zip file of 18 move files and one explanation text file. These are the 18 visualisations+sonifications (in movie format) of the light curves presented to the volunteer participants (as described in Tucker-Brown et al.) 4) Combined Survey Responses.xlsx All of the survey responses from each of the six surveys described in Tucker-Brown et al. - these are presented in the first 6 sheets of the file. The final sheet provides the summary and total values. 5) make_plots.ipynb The code used to analyse the results of the survey (i.e., calculate percentage success rates and their uncertainties) as well as make the figures for the publication. 6) Survey_Transcript.docx A transcript of the text used in the Surveys (presented to the participants in Google Forms). 7) Four example significations, EXAMPLE_****.wav These examples are those included in Figure 1 of Tucker-Brown et al. and are included here as separate files for an easier direct link to these files from the manuscript. 8) Figure5_astronify.mp4 and Figure5_filterCutOff.mp4 These are the two example sonification with animated plots presented in Figure 5 of the manuscript (and described in Section 5.4). These are two sonification approaches for the same light curve data: (a) using the astonify approach and (b) using our new filter cut-off approach. Explain the relationship between multiple data sets, if required: N/A ========================== Methodological information ========================== A brief method description of what the data is, how and why it was collected or created, and how it was processed: Volunteer participants were presented with a set of 9 data representations: a random combination of the plots, sonifications and movies provided with this data release. These data are one dimensional synthetic light curves containing 0, 1 or 2 signals (in the form of a transit or dip in brightness) produced with the astronomy python package (https://astronify.readthedocs.io/en/latest/). The data have a range of signal to noise ratios (0,3,5,7,10 or 100). The information about what signals and signal-to-noise ratios are in each data representation file is provided within the .zip files. There are 54 data representations in total which were spread across six surveys (9 in each). Volunteer participants were presented with a random survey via Google Forms and asked to count the number of signals in each of the 9 data representations in that survey. Instruments, hardware and software used: + Astronify : https://astronify.readthedocs.io/en/latest/ + Other python packages: matplotlib, astropy, numpy + ffmpeg (command link package to make the movies) + Google Forms + Microsoft Excel Date(s) of data collection: 22nd March 2021 to 16th April 2021 and 25th May 2021 to 12th August 2021 Geographic coverage of data: + Survey data were collected online Data validation (how was the data checked, proofed and cleaned): + Multiple authors checked both the light curve data presented to the survey participants and the calculations for the results of the survey data + Survey data results were condensed into main results, as detailed in the attached Excel spreadsheet. Overview of secondary data, if used: N/A ========================= Data-specific information ========================= Definitions of names, labels, acronyms or specialist terminology uses for variables, records and their values: N/A Explanation of weighting and grossing variables: N/A Outline any missing data: None