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A metadata reporting framework (FRAMES) for synthesis of ecohydrological observations., , , , , , , , , and 8 other author(s). Ecol. Informatics, (2017)Long-Term Missing Value Imputation for Time Series Data Using Deep Neural Networks., , , , , , , and . CoRR, (2022)Balancing the needs of consumers and producers for scientific data collections., , , , , , and . Ecol. Informatics, (2021)Experiences with User-Centered Design for the Tigres Workflow API., , , , , and . eScience, page 290-297. IEEE Computer Society, (2014)Observational Data Patterns for Time Series Data Quality Assessment., , , , , , , , , and 1 other author(s). eScience, page 271-278. IEEE Computer Society, (2014)Long-term missing value imputation for time series data using deep neural networks., , , , , , , and . Neural Comput. Appl., 35 (12): 9071-9091 (April 2023)Integrated Analysis of Productivity and Biodiversity in a Southern Alberta Prairie., , , , , , and . Remote. Sens., 8 (3): 214 (2016)Understanding Data Similarity in Large-Scale Scientific Datasets., , , , , , , , and . IEEE BigData, page 4525-4531. IEEE, (2019)Hunting Data Rogues at Scale: Data Quality Control for Observational Data in Research Infrastructures., , , , , , , , , and 8 other author(s). eScience, page 446-447. IEEE Computer Society, (2017)Gerenciamento do ciclo de vida de dados de sensores: da produção ao consumo.. University of Campinas, Brazil, (2008)ndltd.org (oai:repositorio.unicamp.br:REPOSIP/276020).