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Description
436 T1-weighted brain MRI scans from cognitively normal adults aged 18 to 96, preprocessed from the OASIS-1 dataset. Volumes are stored as float32 NumPy arrays with a consistent shape of 96 × 128 × 96, ready for machine learning and 3-D visualization. The dataset was uploaded by pzarzycki and last updated on March 25, 2026.
Use Cases
Training 3-D convolutional neural networks for brain age prediction based on preprocessed MRI volumes.
Developing anomaly detection models for neurological conditions based on standardized T1-weighted brain scans.
Creating educational or research visualization tools based on the consistent 96 × 128 × 96 volume format.
Benchmarking image registration or segmentation algorithms based on preprocessed data from two public neuroimaging datasets.
Strengths
Includes 436 subject scans from a well-known public neuroimaging study (OASIS-1).
Data is preprocessed into a consistent, machine-learning-ready format with a fixed shape of 96 × 128 × 96.
Volumes are stored as float32 NumPy arrays, simplifying loading and integration into Python-based ML pipelines.
Limitations
Description metadata is limited; actual data quality, inclusion of IXI data, and preprocessing steps require manual inspection after download.
Column-level documentation is absent; field semantics and any additional metadata must be inferred after download.
Row count for the combined OASIS-1 and IXI collection is unknown, which may limit suitability assessment for large-scale projects.
Provenance
Source
Combination of the OASIS-1 and IXI public neuroimaging datasets, preprocessed by the dataset author.
Collection Method
Preprocessed T1-weighted MRI volumes, likely involving resampling, normalization, and formatting.
Time Range
Ages of subjects range from 18 to 96 years; specific collection dates for the original datasets are not provided.
Freshness
Last updated 2026-03-25 18:03:30; freshness should be verified.
Geography
Geographic coverage of the original OASIS-1 and IXI datasets is not specified in the provided description.
License information is unknown and must be verified before use. Requires Python and NumPy for loading the .npy files.