READ ME This text describes the data presented in the paper: Probing quasi-integrability of the Gross-Pitaevskii equation in a harmonic-oscillator potential ======================== Introductory information ======================== Files included in the data deposit (include a short description of what data are contained): 1) dadt_box_M#.m The MATLAB function files, where #=[4,8,16], are the ODEs solved for the box trap case of Equation (9) of the main text. These can be simply solved in MATLAB employing the built-in ode45 function. 2) dadt_harmonic_M#.m Same as 1), however in the harmonic oscillator case. 3) fig_1_harmonic.mat Included in this MATLAB data file are the following variables (parameters found in main text): z - the position vector t_ga - the time vector for the Galkerin apprximation simulation psi_ga - the obtained wavefunction found from solving the ODEs listed in 1) and 2) t_gpe - the corresponding time vector for the GPE simulation psi_gpe - the wavefunction from the GPE simulation From this data, and the corresponding files listed below, one can recreate every figure in the main text. 4) fig_1_box.mat Same as 3), for the box trap case. 5) fig_3_harmonic.mat Same as 3), for the noisy initial condition solved in the harmonic trap(see Fig. 3 and text around it). 6) fig_3_box.mat Same as 3), for the noisy initial condition solved in the box trap. 7) fig_b1#.tex The four LaTeX files (#=[a,b,c,d]) used to generate Figure B1, which contain the plot data. Explain the relationship between multiple data sets, if required: Explanations are included above. Key words used to describe the data: MATLAB function files, MATLAB data, LaTeX files (pgfplots). ========================== Methodological information ========================== A brief method description: what the data is, how and why it was collected or created, and how it was processed: The data in 3) and 4) above is used to generate every plot in Fig. 1 and Fig. 2 from the main text. The data in 5) and 6) above is used to generate every plot in Fig. 3 from the main text. All data was collected in MATLAB. Instruments, hardware and software used: MATLAB, LaTeX Date(s) of data collection: June 2017 - Jun 2018 Geographic coverage of data: Newcastle University Data validation (how was the data checked, proofed and cleaned): Comparison to known results in the Gross-Pitaevskii model. Overview of secondary data, if used: ========================= Data-specific information ========================= Definitions of names, labels, acronyms or specialist terminology uses for variables, records and their values: Descriptions are included in the above list. Explanation of weighting and grossing variables: Outline any missing data: ======= Contact ======= Please contact thomas.bland@ncl.ac.uk for further information