Data products associated with the paper "The Dark Energy Camera Plane Survey 2 (DECaPS2): More Sky, Less Bias, and Better Uncertainties" are made publicly available including data and code to reproduce all figures. Acknowledgements: A.K.S. gratefully acknowledges support by a National Science Foundation Graduate Research Fellowship (DGE-1745303). D.P.F. acknowledges support by NSF grant AST-1614941, "Exploring the Galaxy: 3-Dimensional Structure and Stellar Streams." D.P.F. acknowledges support by NASA ADAP grant 80NSSC21K0634 "Knitting Together the Milky Way: An Integrated Model of the Galaxy's Stars, Gas, and Dust." This work was supported by the National Science Foundation under Cooperative Agreement PHY-2019786 (The NSF AI Institute for Artificial Intelligence and Fundamental Interactions). We acknowledge helpful discussions with Paul Edmon, Joel Brownstein, Charlie Conroy, Tom Prince, Christian I. Johnson, Eugene Magnier, Lucas Janson, Justina R. Yang, and Nayantara Mudur. A.K.S. acknowledges Sophia S\'{a}nchez-Maes for helpful discussions and much support.

The Jupyter notebook provided to reproduce all figures is in Julia. The database results provided to reproduce all figures in the text of the paper are large and when completely uncompressed are ~250 GB. Individual files can be downloaded at https://faun.rc.fas.harvard.edu/saydjari/DECaPS2/. Please feel free to contact the author with questions or for help in using the provided data products: andrew.saydjari@cfa.harvard.edu.