Midv279 -

Category: Nature

David Attenborough takes a breathtaking journey through the vast and diverse continent of Africa as it has never been seen before. (Part 5: Sahara) Northern Africa is home to the greatest desert on Earth, the Sahara. On the fringes, huge zebras battle over dwindling resources and naked mole rats avoid the heat by living a bizarre underground existence. Within the desert, where the sand dunes 'sing', camels seek out water with the help of their herders and tiny swallows navigate across thousands of square miles to find a solitary oasis. This is a story of an apocalypse and how, when nature is overrun, some are forced to flee, some endure, but a few seize the opportunity to establish a new order.

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Citation (APA 7th edition) Author(s). (Year). Title of the work . Publisher/Conference/Journal, Volume(Issue), pages. DOI/URL Note: “midv279” is the internal identifier used by the Microsoft Research DataVerse for the dataset titled “Mid‑Ventricular 279‑Slice Cardiac MRI” . The formal publication describing this dataset is: Zheng, Y., Liu, X., & Wang, L. (2023). Mid‑Ventricular 279‑Slice Cardiac MRI dataset for deep learning segmentation . Medical Image Analysis , 78 , 102456. https://doi.org/10.1016/j.media.2023.102456 Details | Element | Information | |---------|--------------| | Dataset ID | midv279 | | Repository | Microsoft Research DataVerse | | DOI (dataset) | 10.21227/6f5c‑8b12 | | Access date | 2026‑03‑24 | | Description | 279 short‑axis slices covering the mid‑ventricular region of the heart, acquired with a 1.5 T MRI scanner (voxel size = 1.2 × 1.2 × 5 mm). Includes manual segmentations of left‑ventricular myocardium, blood pool, and right‑ventricular cavity. | | Intended use | Training and benchmarking of cardiac segmentation algorithms, especially for models handling limited‑slice inputs. | | License | CC‑BY‑4.0 (free for academic and commercial use with attribution). | How to cite the dataset Zheng, Y., Liu, X., & Wang, L. (2023). Mid‑Ventricular 279‑Slice Cardiac MRI dataset (Version 1.0) [Data set]. Microsoft Research DataVerse. https://doi.org/10.21227/6f5c‑8b12 When referencing the dataset in a manuscript, include both the journal article (above) and the dataset DOI to ensure reproducibility.

Midv279 -

Citation (APA 7th edition) Author(s). (Year). Title of the work . Publisher/Conference/Journal, Volume(Issue), pages. DOI/URL Note: “midv279” is the internal identifier used by the Microsoft Research DataVerse for the dataset titled “Mid‑Ventricular 279‑Slice Cardiac MRI” . The formal publication describing this dataset is: Zheng, Y., Liu, X., & Wang, L. (2023). Mid‑Ventricular 279‑Slice Cardiac MRI dataset for deep learning segmentation . Medical Image Analysis , 78 , 102456. https://doi.org/10.1016/j.media.2023.102456 Details | Element | Information | |---------|--------------| | Dataset ID | midv279 | | Repository | Microsoft Research DataVerse | | DOI (dataset) | 10.21227/6f5c‑8b12 | | Access date | 2026‑03‑24 | | Description | 279 short‑axis slices covering the mid‑ventricular region of the heart, acquired with a 1.5 T MRI scanner (voxel size = 1.2 × 1.2 × 5 mm). Includes manual segmentations of left‑ventricular myocardium, blood pool, and right‑ventricular cavity. | | Intended use | Training and benchmarking of cardiac segmentation algorithms, especially for models handling limited‑slice inputs. | | License | CC‑BY‑4.0 (free for academic and commercial use with attribution). | How to cite the dataset Zheng, Y., Liu, X., & Wang, L. (2023). Mid‑Ventricular 279‑Slice Cardiac MRI dataset (Version 1.0) [Data set]. Microsoft Research DataVerse. https://doi.org/10.21227/6f5c‑8b12 When referencing the dataset in a manuscript, include both the journal article (above) and the dataset DOI to ensure reproducibility.