The iLab Shared Architecture: A Web Services Infrastructure to Build Communities of Internet Accessible Laboratories. - V. Judson Harward; Jesús A. del Alamo; Steven R. Lerman; Philip H. Bailey; Joel Carpenter; Kimberly DeLong; Chris Felknor; James L. Hardison; Bryant Harrison; Imad Jabbour; Phillip D. Long; Tingting Mao; et al. (Proc. IEEE, 2008)

A metadata reporting framework (FRAMES) for synthesis of ecohydrological observations. - Danielle Christianson; Charuleka Varadharajan; Bradley Christoffersen; Matteo Detto; Boris Faybishenko; Bruno O. Gimenez; Valerie C. Hendrix; Kolby J. Jardine; Robinson I. Negrón Juárez; Gilberto Zonta Pastorello; Thomas L. Powell; Megha Sandesh; et al. (Ecol. Informatics, 2017)

Challenges in Building an End-to-End System for Acquisition, Management, and Integration of Diverse Data From Sensor Networks in Watersheds: Lessons From a Mountainous Community Observatory in East River, Colorado. - Charuleka Varadharajan; Boris Faybishenko; Amanda Henderson; Matthew Henderson; Valerie C. Hendrix; Susan S. Hubbard; Zarine Kakalia; Alexander Newman; Benjamin Potter; Heidi Steltzer; Roelof Versteeg; Deborah A. Agarwal; et al. (IEEE Access, 2019)

Sample Identifiers and Metadata to Support Data Management and Reuse in Multidisciplinary Ecosystem Sciences. - Joan E. Damerow; Charuleka Varadharajan; Kristin Boye; Eoin L. Brodie; Madison Burrus; K. Dana Chadwick; Robert Crystal-Ornelas; Hesham Elbashandy; Ricardo J. Eloy Alves; Kim S. Ely; Amy E. Goldman; Ted Habermann; et al. (Data Sci. J., 2021)

Balancing the needs of consumers and producers for scientific data collections. - Deborah A. Agarwal; Joan E. Damerow; Charuleka Varadharajan; Danielle S. Christianson; Gilberto Zonta Pastorello; You-Wei Cheah; Lavanya Ramakrishnan (Ecol. Informatics, 2021)

The future low-temperature geochemical data-scape as envisioned by the U.S. geochemical community. - Susan L. Brantley; Tao Wen 006; Deborah A. Agarwal; Jeffrey G. Catalano; Paul A. Schroeder; Kerstin A. Lehnert; Charuleka Varadharajan; Julie Pett-Ridge; Mark Engle; Anthony M. Castronova; Richard P. Hooper; Xiaogang Ma 001; et al. (Comput. Geosci., 2021)

Surrogate optimization of deep neural networks for groundwater predictions. - Juliane Müller 002; Jangho Park; Reetik Sahu; Charuleka Varadharajan; Bhavna Arora; Boris Faybishenko; Deborah A. Agarwal (J. Glob. Optim., 2021)

Guidelines for Publicly Archiving Terrestrial Model Data to Enhance Usability, Intercomparison, and Synthesis. - Maegen B. Simmonds; William J. Riley; Deborah A. Agarwal; Xingyuan Chen; Shreyas Cholia; Robert Crystal-Ornelas; Ethan T. Coon; Dipankar Dwivedi; Valerie C. Hendrix; Maoyi Huang; Ahmad Jan; Zarine Kakalia; et al. (Data Sci. J., 2022)

BASIN-3D: A brokering framework to integrate diverse environmental data. - Charuleka Varadharajan; Valerie C. Hendrix; Danielle S. Christianson; Madison Burrus; Catherine Wong; Susan S. Hubbard; Deborah A. Agarwal (Comput. Geosci., 2022)

Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources. - Jared D. Willard; Charuleka Varadharajan; Xiaowei Jia; Vipin Kumar 001 (CoRR, 2023)

Long-term missing value imputation for time series data using deep neural networks. - Jangho Park; Juliane Müller 002; Bhavna Arora; Boris Faybishenko; Gilberto Zonta Pastorello; Charuleka Varadharajan; Reetik Sahu; Deborah A. Agarwal (Neural Comput. Appl., 2023)

Evaluating Deep Learning Approaches for Predictions in Unmonitored Basins with Continental-scale Stream Temperature Models. - Jared D. Willard; Fabio Ciulla; Helen Weierbach; Vipin Kumar 001; Charuleka Varadharajan (CoRR, 2024)