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- figshare - credit for all your research - Home - Figshare
figshare enables you to host large amounts of data in your online articles with no impact on your infrastructure View all publishers our Figshare+ repository allows figshare users to share larger datasets (up to many TBs) to FAIR-ly meet funder and publisher requirements
- Figshare Brain Tumor Dataset - Kaggle
glioma (1426 slices), and pituitary tumor (930 slices) Due to the file size cross-validation indices are also provided This data is organized in matlab data format ( mat file) Each file stores a struct cjdata tumorBorder: a vector storing the coordinates of discrete points on tumor border
- Figshare|数据共享数据集|科学研究数据集
Figshare is an online data sharing platform that enables researchers to upload and share various types of research outputs, including datasets, papers, images, videos, and more
- Figshare brain tumor dataset for Tensorflow - GitHub
This brain tumor dataset containing 3064 T1-weighted contrast-inhanced images from 233 patients with three kinds of brain tumor: meningioma (708 slices), glioma (1426 slices), and pituitary tumor (930 slices)
- Item - FLUID: A Fine-Grained Lightweight Urban Signalized . . . - figshare
The FLUID dataset provides fine-grained trajectories with a unique focus on dense traffic conflicts at typical urban signalized intersections Captured by drones, it contains approximately 5 hours of data covering over 20,000 traffic participants across three distinct intersection types The dataset is distinguished by its high conflict rate (on average of 2 8 vehicle conflicts per minute
- Figshare database (DOI: 10. 6084 m9. figshare. 12415643).
Here, we report the 10 5-Gb reference genome of Cycas panzhihuaensis, complemented by the transcriptomes of 339 cycad species
- The O•–electron tandem path for complete mineralization of . . .
Defluorination rate, pulse radiolysis, theoretical calculations, and scale-up data
- Development of an Open-Source Dataset of Flat-Mounted Images for the . . .
Purpose: To describe an open-source dataset of flat-mounted retinal images and vessel segmentations from mice subject to the oxygen-induced retinopathy (OIR) model Methods: Flat-mounted retinal images from mice killed at postnatal days 12 (P12), P17, and P25 used in prior OIR studies were compiled
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