The Adolescent Brain Cognitive Development (ABCD) study is a groundbreaking effort aimed at providing a comprehensive understanding of adolescent brain development. With data collected from over 10,000 children across 21 sites, this study promises to unlock key insights into the cognitive, behavioral, and neuroimaging data that underpins this critical period of development. However, the potential use of diffusion MRI (dMRI) data in this study is hindered by site-specific scanner and protocol variability, which precludes naive pooling of the data from across sites for analysis. In response to this challenge, we have developed an aggregated database of harmonized dMRI data, comprising imaging data from 9345 subjects and their white matter tracts, as well as tract-specific microstructural measures. This resource has been made publicly available via the NIMH Data Archive (NDA). The generation of this database required enormous computational effort, taking ~50,000 CPU hours to effectively harmonize the dMRI data, run whole brain tractography, and perform white matter parcellation. The data available through the NDA includes: harmonized dMRI data, several dMRI derived measures (e.g., fractional anisotropy) for 73 anatomically well-defined white matter fiber bundles in all 9345 subjects and streamlines corresponding to each fiber bundle for visualization. In this work, we further demonstrate the efficacy of our dMRI data harmonization algorithm on the ABCD dataset using multiple experiments, allowing researchers to perform their own analyses on the harmonized data. The data resources made available through this work will allow for new structural connectivity studies of neurodevelopment in children and adolescents at an unprecedented scale.