The National Cancer Institute (NCI) Cancer Research Data Commons (CRDC) aims to establish a national cloudbased data science infrastructure. Imaging Data Commons (IDC) is a new component of CRDC supported by the Cancer Moonshot™. The goal of IDC is to enable a broad spectrum of cancer researchers, with and without imaging expertise, to easily access and explore the value of de-identified imaging data and to support integrated analyses with non-imaging data. We achieve this goal by co-locating versatile imaging collections with cloudbased computing resources and data exploration, visualization, and analysis tools. The IDC pilot was released in October 2020 and is being continuously populated with radiology and histopathology collections. IDC provides access to curated imaging collections, accompanied by documentation, a user forum, and a growing number of analysis use cases that aim to demonstrate the value of a data commons framework applied to cancer imaging research.Significance: This study introduces NCI Imaging Data Commons, a new repository of the NCI Cancer Research Data Commons, which will support cancer imaging research on the cloud.

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The tooth resistance measuring instrument was compared to the traditional method of the explorer examination for the detection of occlusal carious lesions. The findings of the instrument were more sensitive as compared to the traditional method when verified by a histological examination.

High Q inductors with maximum quality factors in the range of 180-60 have been obtained at frequencies in the 1-3 GHz band for inductances in the range of 1nH to 20nH using a low-temperature organic laminate build-up process. This is the first time such high Q inductors have been demonstrated in this technology. The different inductor designs, optimization schemes, and trade-offs between different topologies, have been discussed in this paper.