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Klimatic: A Virtual Data Lake for Harvesting and Distribution of Geospatial Data., , and . PDSW-DISCS@SC, page 31-36. IEEE Computer Society, (2016)DLHub: Simplifying publication, discovery, and use of machine learning models in science., , , , , , , , , and 1 other author(s). J. Parallel Distributed Comput., (2021)$f$funcX: Federated Function as a Service for Science., , , , , , , , , and 2 other author(s). IEEE Trans. Parallel Distributed Syst., 33 (12): 4948-4963 (2022)Can Automated Metadata Extraction Make Scientific Data More Navigable?, , and . e-Science, page 1-10. IEEE, (2023)Skluma: A Statistical Learning Pipeline for Taming Unkempt Data Repositories., , , and . SSDBM, page 41:1-41:4. ACM, (2017)Towards Lightweight Data Integration Using Multi-Workflow Provenance and Data Observability., , , , and . e-Science, page 1-10. IEEE, (2023)Serverless Workflows for Indexing Large Scientific Data., , , , , , , , and . WOSC@Middleware, page 43-48. ACM, (2019)Serverless Supercomputing: High Performance Function as a Service for Science., , , , , , , , and . CoRR, (2019)Safe Double Blind Studies as a Service., , and . eScience, page 504-509. IEEE Computer Society, (2017)Automated metadata extraction: challenges and opportunities., , and . e-Science, page 495-500. IEEE, (2022)