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A metadata reporting framework (FRAMES) for synthesis of ecohydrological observations.

D. Christianson, C. Varadharajan, B. Christoffersen, M. Detto, B. Faybishenko, B. Gimenez, V. Hendrix, K. Jardine, R. Juárez, G. Pastorello, T. Powell, M. Sandesh, J. Warren, B. Wolfe, J. Chambers, L. Kueppers, N. McDowell, and D. Agarwal. Ecol. Informatics, (2017)

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The future low-temperature geochemical data-scape as envisioned by the U.S. geochemical community.S. Brantley, T. Wen, D. Agarwal, J. Catalano, P. Schroeder, K. Lehnert, C. Varadharajan, J. Pett-Ridge, M. Engle, A. Castronova and 10 other author(s). Comput. Geosci., (2021)Long-term missing value imputation for time series data using deep neural networks.J. Park, J. Müller, B. Arora, B. Faybishenko, G. Pastorello, C. Varadharajan, R. Sahu, and D. Agarwal. Neural Comput. Appl., 35 (12): 9071-9091 (April 2023)Surrogate Optimization of Deep Neural Networks for Groundwater Predictions.J. Müller, J. Park, R. Sahu, C. Varadharajan, B. Arora, B. Faybishenko, and D. Agarwal. CoRR, (2019)BASIN-3D: A brokering framework to integrate diverse environmental data.C. Varadharajan, V. Hendrix, D. Christianson, M. Burrus, C. Wong, S. Hubbard, and D. Agarwal. Comput. Geosci., (2022)A metadata reporting framework (FRAMES) for synthesis of ecohydrological observations.D. Christianson, C. Varadharajan, B. Christoffersen, M. Detto, B. Faybishenko, B. Gimenez, V. Hendrix, K. Jardine, R. Juárez, G. Pastorello and 8 other author(s). Ecol. Informatics, (2017)Sample Identifiers and Metadata to Support Data Management and Reuse in Multidisciplinary Ecosystem Sciences.J. Damerow, C. Varadharajan, K. Boye, E. Brodie, M. Burrus, K. Chadwick, R. Crystal-Ornelas, H. Elbashandy, R. Alves, K. Ely and 16 other author(s). Data Sci. J., (2021)Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources.J. Willard, C. Varadharajan, X. Jia, and V. Kumar. CoRR, (2023)Long-Term Missing Value Imputation for Time Series Data Using Deep Neural Networks.J. Park, J. Müller, B. Arora, B. Faybishenko, G. Pastorello, C. Varadharajan, R. Sahu, and D. Agarwal. CoRR, (2022)Balancing the needs of consumers and producers for scientific data collections.D. Agarwal, J. Damerow, C. Varadharajan, D. Christianson, G. Pastorello, Y. Cheah, and L. Ramakrishnan. Ecol. Informatics, (2021)Surrogate optimization of deep neural networks for groundwater predictions.J. Müller, J. Park, R. Sahu, C. Varadharajan, B. Arora, B. Faybishenko, and D. Agarwal. J. Glob. Optim., 81 (1): 203-231 (2021)

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A metadata reporting framework (FRAMES) for synthesis of ecohydrological observations.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A metadata reporting framework (FRAMES) for synthesis of ecohydrological observations.

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A metadata reporting framework (FRAMES) for synthesis of ecohydrological observations.