Allen Mouse Brain Atlas

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This bucket contains multiple datasets (as Quilt packages) created by the Allen Institute for Cell Science. The types of data included in this bucket are listed below: 1) Field of view or cropped images of cells 2) Segmentations of structures in the images (e.g., boundaries of cells, DNA, other intracellular structures, etc.) 3) Processed versions of the above images and segmentations 4) Machine learning predictions and labels of the data listed above 5) Models trained on the previously listed data 6) Additional supporting non-image data related to the above listed data types (e.g., gene expression data, whole genome sequencing data, features derived from the images or model predictions, metadata) 7) Simulation, analysis, and visualization data of in silico cell structures, cells, and cell populations External funding: The generation of some datasets was supported by the National Human Genome Research Institute of the National Institutes under Award Number UM1HG011593. The cont[...]

Extracellular electrophysiology data is growing at a remarkable pace. This data, collected neuropixels probes by the Allen Institute and the International Brain Lab can be used to benchmark throughput rates and storage ratios of various data compression algorithms.

The Allen Institute for Neural Dynamics (AIND) is committed to FAIR, Open, and Reproducible science. We therefore share all of the raw and derived data we collect publicly with rich metadata, including preliminary data collected during methods development, as near to the time of collection as possible.