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OpenNeuro (formerly known as OpenfMRI) is an open-science neuroinformatics database storing datasets from human brain imaging research studies. [1] The database is available online. [2] Neuroimaging researchers, having performed an neuroimaging studies, may upload their data to the site.
OpenNeuro: Large and diverse collection of raw data from various research studies distributed under permissive licenses (CC0 and CC BY). All datasets are formatted according to the same format (Brain Imaging Data Structure) and can be accessed via Amazon S3. Human Macroscopic Functional, structural, diffusion MRI, and Magnetoencephalography ...
The Brain Imaging Data Structure (BIDS) is a standard for organizing, annotating, and describing data collected during neuroimaging experiments. It is based on a formalized file and directory structure and metadata files (based on JSON and TSV) with controlled vocabulary. [1]
The dataset is labeled with semantic labels for 32 semantic classes. over 700 images Images Object recognition and classification 2008 [56] [57] [58] Gabriel J. Brostow, Jamie Shotton, Julien Fauqueur, Roberto Cipolla RailSem19 RailSem19 is a dataset for understanding scenes for vision systems on railways. The dataset is labeled semanticly and ...
general repository for interaction datasets Protein-protein and other molecular interactions RNA-binding protein database: Protein-protein and other molecular interactions Database of Interacting Proteins: Univ. of California: Protein-protein and other molecular interactions IntAct [21] EMBL-EBI: open-source database for molecular interactions
GPU-accelerated, in-memory, distributed database for analytics. Functions like a RDBMS (structured data) for fast analytics on datasets in the hundreds of GBs to tens of TBs range. Interact with SQL and REST API. Geospatial objects and functions. UDF framework allows for custom code and machine learning workloads to run in-database. Received ...
The idea of a collaboration between public institutions and private pharmaceutical companies to fund a large biomarker project to study AD and to speed up progress toward effective treatments for the disease was conceived at the beginning of the millennium by Neil S. Buckholz at the National Institute on Aging (NIA) and Dr. William Potter, at Eli Lilly and Company. [1]
This category contains various types of image datasets which are used in computer vision and image processing. Pages in category "Datasets in computer vision" The following 16 pages are in this category, out of 16 total.