Online material for the paper titled "Stellar flare morphology with TESS across the main sequence". The dataset includes the manually flagged TESS light curves used to train the flatwrm2 flare detection algorithm (https://github.com/vidakris/flatwrm2), the final manually vetted flare catalog, the extracted flare profiles, and Jupyter notebooks demonstrating how the data can be used. Files flatwrm2_training_set.tar.gz: TESS 2-min cadence light curves used to train flatwrm2 for flare detection. All files contain three columns, time in TBJD, PDCSAP flux, and a 1/0 flag for flare/not flare. Files are sorted into three directories: active_stars: Selected active stars up to sector 40 for the original training set of flatwrm2, 208 light curves. random_sample: Random stars up to sector 40 for the original training set of flatwrm2, 8000 light curves. Only a small fraction of them is flaring. new_selection: New selection of stars up to sector 69, 4631 light curves. It includes flaring and non-flaring stars, and also known astrophysical false positives (e.g., RR Lyrae stars). See Sect. 2.2 of the paper for details. Table2_flaring_star_catalog.csv: Catalog of flaring stars (Table 2 in the paper) Table3_flare_catalog.csv: TESS flare catalog, including only the correctly extracted flares, with the same length as TESS_flare_shapes.dat (Table 3 in the paper) Table3_flare_catalog_not_extracted.csv: Continuation of the TESS flare catalog, including only the incorrectly extracted flares (Table 3 in the paper). As most calculated parameters are probably erroneous, only the flare peak times are reported. TESS_flare_shapes.dat: Scaled and interpolated TESS flare shapes, one flare profile for each entry in Table3_flare_catalog.csv TESS_original_flare_shapes_time.dat: Times for the scaled, but not interpolated flares TESS_original_flare_shapes_flux.dat: Fluxes for the scaled, but not interpolated flares Table6_solar_flare_catalog.csv: Solar flare parameters from SDO/EVE (Table 6 in the paper) solar_flare_shapes.dat: Scaled and interpolated solar flare profiles from SDO/EVE, one flare profile for each entry in Table6_solar_flare_catalog.csv 01_Loading_data.ipynb: A Jupyter notebook demonstrating how the above datasets can be used 02_Sampling_flare_shapes.ipynb: A Jupyter notebook demonstrating how flare shapes can be sampled (Sect. 4.2 in the paper) 03_Locating_similar_flares.ipynb: A Jupyter notebook demonstrating how flares similar to an input shape can be located in the catalog (Sect. 4.3 in the paper)