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SensorWF: A FAIR Generalizable Workflow Framework for Scientific Time-Series Analysis
Scientific sensor data is foundational across disciplines including spacecraft engineering, clinical medicine, and atmospheric science. In each context, pipelines are constructed to ingest raw archives, assess data quality, perform feature engineering and semantic annotation, and record provenance.
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