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Building FAIR Behavioral Data Repositories: Reproducibility
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Building FAIR Behavioral Data Repositories: Reproducibility
The scientific community stands at a pivotal crossroads in behavioral neuroscience. As video-based behavioral experiments become more complex, detailed, and high-throughput, so too does the demand for open, scalable, and FAIR (Findable, Accessible, Interoperable, Reusable) repositories that can handle the resulting terabytes of time-series data. From raw video to pose estimation outputs and unsupervised behavioral clusters, the scientific utilit…
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