Images and Physical Properties of 360 Molecular Cloud Structures identified with MWISP 13CO(1-0) data

This dataset contains the images and physical property table of 360 molecular cloud structures identified with the Milky Way Imaging Scroll Painting (MWISP) 13CO(1-0) data.The relatively accurate distances were obtained from either the reddened background stars with Gaia parallaxes or associated maser parallaxes, spanning from 0.4 to ~15 kpc.We have used this sample to revisit the velocity dispersion-size relation of molecular cloud structures.There are two files in this dataset: images.pdf and table1.csv. Here we describe their contents.images.pdf shows the integrated intensity maps and average spectra of the identified 13CO structures. Table1.csv is the full version of Table 1 in Feng et al. (2024). It contains the physical properties of the structures. The description of each column is given below:ID: Serial No. of the cloud structure;GLON: deg, Galactic Longitude;GLAT: deg, Galactic Latitude;VLSR: km s-1, centroid velocity;VelDisp: km s-1, velocity dispersion;Reff: pc, effective radius;e_Reff: pc, effective radius uncertainty;surface_density: Solar mass pc-2, mass surface density;MLTE: Solar mass, Mass of the cloud structure;The following columns with a suffix of '_A2' are derived in the N(H2) half-max isophote of each 13CO structure, their meanings are the same as their entire structure analogs shown above.VLSR_A2VelDisp_A2Reff_A2e_Reff_A2surface_density_A2MLTE_A2The following columns with 'D' in their names are associated with the sources used to derive the distances:D: kpc, Heliocentric distance,e_D_lo: kpc, distance uncertaintye_D_hi: kpc, distance uncertaintyDname: Name of the source for distance measurementDref: Reference of the source, the references includes:(1) Reid et al. (2019), (2) VERA Collaboration et al. (2020), (3) Xu et al. (2021), (4) Yan et al. (2021), (5) Bian et al. (2022), (6) Sakai et al. (2022), (7) Li et al. (2022), (8) Mei et al. (2024), (9) Zhang et al. (2024), (10) Zhuang et al. (2024), and (11) Bian et al. (2024);The corresponding ADS bibcodes are:2019ApJ...885..131R2020PASJ...72...50V2021ApJS..253....1X2021ApJ...922....8Y2022AJ....163...54B2022PASJ...74..209S2022ApJS..262...42L2024A&A...685A..39M2024AJ....167..220Z2024ApJ...966..202Z2024AJ....167..267B