Update README.md

Author: fedorov

README.md

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 This repository contains tutorial materials (for the most part, as Python notebooks) that are developed to help you learn about [NCI Imaging Data Commons](https://imaging.datacommons.cancer.gov) and utilize it in your work.
 
 If this is the first time you hear about IDC, here are some highlights about what it has to offer:
-* **>45 TB of data**: IDC contains radiology, brightfield (H&E) and fluorescence slide microscopy images, along with image-derived data (annotations, segmentations, quantitative measurements) and accompanying clinical data
+* **>50 TB of data**: IDC contains radiology, brightfield (H&E) and fluorescence slide microscopy images, along with image-derived data (annotations, segmentations, quantitative measurements) and accompanying clinical data
 * **free**: all of the data in IDC is publicly available: no registration, no access requests
 * **cloud-based**: all of the data in IDC is available from both Google and AWS public buckets: fast and free to download, no out-of-cloud egress fees
 * **commercial-friendly**: most of the data in IDC is covered by the permissive CC-BY license, which allows commercial reuse (small subset of data is covered by the CC-NC license); each file in IDC is tagged with the license to make it easy for you to understand and follow the rules