SegThy is distributed by the Chair for Computer Aided Medical Procedures (CAMP), Technical University of Munich, together with Klinikum rechts der Isar, from the author-hosted deposit: https://www.cs.cit.tum.de/camp/publications/segthy-dataset/ https://www.campar.in.tum.de/public_datasets/2022_plosone_eilers/ LICENSE: CC BY (Creative Commons Attribution) The license statement ships INSIDE both official archives, as Readme.txt, and is reproduced verbatim from the MRI archive: "This dataset is licensed under a CC BY license. This means that users of it can be distributed, shuffled, adapted, and built upon any material with the sole condition that the creators are acknowledged by citing the following article: Tracked 3D Ultrasound and deep neural network-based Thyroid Segmentation reduce Interobserver Variability in Thyroid Volumetry; Markus Kroenke, Christine Eilers, Desislava Dimova, Melanie Koehler, Gabriel Buschner, Lilit Mirzojan, Lemonia Konstantinidou, Marcus R. Makowski, James Nagarajah, Nassir Navab, Wolfgang Weber, Thomas Wendler; PLOS ONE 2022 (in press) The license permits commercial use as long as the authors are cited as described above." The identical statement appears in the US archive's Readme.txt. Both Readme files are preserved unmodified at the root of this mirror as Readme_MRI.txt and Readme_US.txt. Consequences: * Attribution -- the citation above is mandatory. * Commercial use is EXPLICITLY PERMITTED by the authors ("The license permits commercial use as long as the authors are cited"). * Redistribution and adaptation are explicitly permitted, which is what makes this mirror possible. IMPORTANT -- no CC BY version number is stated anywhere upstream. Neither the website nor either in-archive Readme names 1.0/2.0/3.0/4.0; they say only "a CC BY license". Third-party listings that assert "CC BY 4.0" are inferring. This mirror is tagged cc-by-4.0 because the Hub's license vocabulary has no unversioned CC BY option, and 4.0 is the current default -- but the authoritative statement is the unversioned one quoted above. This mirror redistributes the gold-standard portion of the official release with its NIfTI payloads byte-identical to source (payload_sha256 in metadata/manifest.csv records the digest of the uncompressed NIfTI bytes for every file, so fidelity is checkable independently of gzip container framing). The upstream `network_results/` folder -- QuickNAT model predictions, not ground truth -- is deliberately excluded; see the README. Added files are metadata only (jsonl indices, manifest.csv, subject_crossref.csv, this notice and the dataset card).