ESS-DIVE

Deep Insight for Earth Science Data

PUBLICATIONS

Journal Publications

  1. Crystal-Ornelas, R., Varadharajan, C., O’Ryan, D. et al. Enabling FAIR data in Earth and environmental science with community-centric (meta)data reporting formats. Sci Data 9, 700 (2022). https://doi.org/10.1038/s41597-022-01606-w
  1. Varadharajan, C., Hendrix V.C., Christianson D.S., Burrus M., Wong C., Hubbard S S., Agarwal D. (2022). BASIN-3D: A brokering framework to integrate diverse environmental data, Computers & Geosciences, Volume 159, 105024, https://doi.org/10.1016/j.cageo.2021.105024
  1. Simmonds, M.B., Riley, W.J., Agarwal, D.A., Chen, X., Cholia, S., Crystal-Ornelas, R., Coon, E.T., Dwivedi, D., Hendrix, V.C., Huang, M., Jan, A., Kakalia, Z., Kumar, J., Koven, C.D., Li, L., Melara, M., Ramakrishnan, L., Ricciuto, D.M., Walker, A.P., … Varadharajan, C., 2022. Guidelines for Publicly Archiving Terrestrial Model Data to Enhance Usability, Intercomparison, and Synthesis. Data Science Journal, 21(1), p.3. http://doi.org/10.5334/dsj-2022-003
  1. Hills, D.J., Damerow, J.E., Ahmmed, B., Catolico, N., Chakraborty, S., Coward, C.M., Crystal-Ornelas, R., Duncan, W.D., Goparaju, L.N., Lin, C., Liu, Z., Mudunuru, M.K., Rao, Y., Rovetto, R.J., Sun, Z., Whitehead, B.P., Wyborn, L., Yao, L. (2022). Earth and Space Science Informatics Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science. https://doi.org/10.1029/2021EA002108
  1. Sun, Z., Sandoval, L., Crystal-Ornelas, R., Mousavi, S. M., Wang, J., Lin, C., Cristea, N., Tong, D., Carande, W. H., Ma, X., Rao, Y., Bednar, J. A., Tan, A., Wang, J., Purushotham, S., Gill, T., Chastang, J., Howard, D., Holt, B., … John, A. (2022) A review of Earth Artificial Intelligence. Computers and Geosciences. https://doi.org/10.1016/j.cageo.2022.105034
  1. Crystal-Ornelas, R., Varadharajan, C., Bond-Lamberty, B., Boye, K., Burrus, M., Cholia, S., Crow, M., Damerow, J., Devarakonda, R., Ely, K., Goldman, A., Heinz, S., Hendrix, V.C., Kakalia, Z., Pennington, S., Robles, E., Rogers, A., Simmonds, M., Velliquette, T., Weierbach, H., … Agarwal, D. A. (2021). A guide to using GitHub for developing and versioning data standards and reporting formats. Earth and Space Science, 8(8), e2021EA001797 https://doi.org/10.1029/2021EA001797
  1. Damerow, J., Varadharajan, C., Boye, K., Brodie, E. L., Burrus, M., Chadwick, D. K., et al. (2021). Sample identifiers and metadata to support data management and reuse in multidisciplinary ecosystem sciences. Data Science Journal, 20, 1–19. http://doi.org/10.5334/dsj-2021-011
  1. Bond-Lamberty, B., Christianson, D. S., Crystal-Ornelas, R., Mathes, K., & Pennington, S. C. (2021). A reporting format for field measurements of soil respiration. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2021.101280
  1. Agarwal, D., Damerow, J., Varadharajan, C., Christianson, D., Pastorello, G., Cheah, Y.-W., & Ramakrishnan, L. (2021). Balancing the needs of consumers and producers for scientific data collections. Ecological Informatics, 101251. https://doi.org/10.1016/j.ecoinf.2021.101251
  1. Ely, K. S., Rogers, A., Agarwal, D. A., Ainsworth, E. A., Albert, L., Ali, A., et al. (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics, 101232. https://doi.org/10.1016/j.ecoinf.2021.101232
  1. Brantley, S. L., Wen, T., Agarwal, D. A., Catalano, J. G., Schroeder, P. A., Lehnert, K., Varadharajan, C., Pett-Ridge, J., Engle, M., Castronova, A. M., Hooper, R. P., Ma, X., Jin, L., McHenry, K., Aronson, E., Shaughnessy, A. R., Derry, L. A., Richardson, J., Bales, J., & Pierce, E. M. (2021). The future low-temperature geochemical data-scape as envisioned by the U.S. geochemical community. Computers & Geosciences, 157, 104933. https://doi.org/10.1016/j.cageo.2021.104933
  1. Varadharajan, C., Cholia, S., Snavely, C., Hendrix, V., Procopiu, C., Swantek, D., et al. (2019). Launching an Accessible Archive of Environmental Data. Eos , 100. https://doi.org/10.1029/2019EO111263

DOE Workshop Reports

  1. BER AI4CH4 workshop report, data integration chapter, U.S. DOE. 2024. Artificial Intelligence for the Methane Cycle, DOE/SC-0213. U.S. Department of Energy Office of Science.  https://doi.org/10.2172/2204972
  1. U.S.DOE. Hickmon, N.L., Varadharajan, C., Hoffman, F.M., Collis S., & Wainwright, H.M. Artificial Intelligence for Earth System Predictability (AI4ESP) Workshop Report. United States. https://doi.org/10.2172/1888810
  1. U.S. DOE, U.S. Department of Energy, “Integrated Hydro-Terrestrial Modeling: Development of a National Capability,” report
    U.S. DOE (2019). Open Watersheds by Design. Available at https://ess.science.energy.gov/open-watershed-workshop/

Conference Papers and Presentations

  1. Damerow, J., Thomer, A., Stanley V. (2024). Complex Citations for Physical Sample Tracking and Credit. RDA 22nd Plenary Meeting. May 14-24.
  1. Damerow, J., Thomer, A., Stanley, V. (2024). Community and Technical Needs to Facilitate Sample Citation. ESIP. Conference contribution. https://doi.org/10.6084/m9.figshare.25483771.v1
  1. Damerow, J., Thomer, A., Stanley, V. (2024). How can we connect and track use of physical samples and associated data?. ESIP. Conference contribution. https://doi.org/10.6084/m9.figshare.25483765.v1
  1. Hendrix, V., Cholia, S., Varadharajan, C., Agarwal, D., Damerow. J., Elbashandy, H., et al. (2023). Enabling Integration Across Diverse Environmental Systems Data. Presented at the AGU Fall Meeting 2023, Hybrid Meeting: IN14B-04
  1. Christianson, D., Hendrix, V., Varadharajan, C. (2023). BASIN-3D: Addressing the challenges and opportunity of earth science data synthesis. Presented at the AGU Fall Meeting 2023, Hybrid Meeting: IN31E-0707
  1. Burrus, M., O’Brien, F., Agarwal, D., Damerow, J., Elbashandy, H., Hendrix, V., et al. (2023). Need for Interdisciplinary, Collaborative Data Management on Earth Science Data Repositories. Presented at the AGU Fall Meeting 2023, Hybrid Meeting: IN41C-600
  1. Damerow, J., Agarwal, D., Burrus, M., Cholia, S., Elbashandy, H., Hendrix, V., et al. (2023). Linking and Citing Related Resources for Environmental System Science Research. Presented at the AGU Fall Meeting 2023, Hybrid Meeting: IN31E-606
  1. Robles, E., Agarwal, D., Burrus, M., Damerow, J., Elbashandy, H., Hendrix, V., et al. (2023). Using FAIR-Guided Metadata Requirements for Diverse Data in the ESS-DIVE Data Repository. Presented at the AGU Fall Meeting 2023, Hybrid Meeting: IN44A-07
  1. Christianson, D., Hendrix, V., Wong, C., Varadharajan, C., Agarwal, D. (2022). BASIN-3D: Data Synthesis Software for Earth Science Researchers. Presented at the AGU Fall Meeting 2022, Hybrid Meeting: H12P-0874
  1. Varadharajan, C., Crystal-Ornelas, R., O’Ryan, D., Bond-Lamberty, B., Beilsmith, K., Boye, K., et al. (2022). Community-developed (meta)data reporting formats to enable data reuse in environmental repositories. Presented at the AGU Fall Meeting 2022, Hybrid Meeting: IN41A-06
  1. Robles, E., Varadharajan, C., Burrus, M., Cholia, S., Crystal-Ornelas, R., Damerow, J., et al. (2022). A FAIR Guided and Community-Oriented Approach to Improving Metadata Quality in a Large Scale Data Repository. Presented at the AGU Fall Meeting 2022, Hybrid Meeting: IN41A-03
  1. Agarwal, D., Stockhause, M., Wyborn, L., Buck, J., Ayliffe, J., Stall, S. Enabling proper Citation of Individual Objects Across Large Collections of Datasets. Presented at the AGU Fall Meeting, Hybrid Meeting: IN42B-0338
  1. Damerow, J., Wood-Charlson, E., Varadharajan, C., Borton, M., Brodie, E., Canon, R., et al. (2022). Sample tracking and synthesis needs for exploring ecosystem response to climate and environmental disturbance. Presented at the AGU Fall Meeting 2022, Hybrid Meeting: IN55A-03
  1. Agarwal, D., Coward, C., Stall, S., Buck, J., Stockhause, M., Erdmann, C., et al. (2021). Enabling Citations of Large Numbers of Diverse Datasets. Presented at the AGU Fall Meeting 2021, Hybrid Meeting: IN52B-04: AGU.
  1. Burrus, M., Varadharajan, C., Cholia, S., Hendrix, V. C., Damerow, J., Crystal-Ornelas, R., et al. (2021). Community Engagement Efforts to Encourage and Incentivize Data Archiving in the Environmental System Sciences Community. Presented at the AGU Fall Meeting 2021, Hybrid Meeting: IN25B-0455: AGU.
  1. Cholia, S., Agarwal, D., Varadharajan, C., Damerow, J., Hendrix, V. C., Elbashandy, H., et al. (2021). Fostering Growth in the ESS-DIVE Data Repository. Presented at the AGU Fall Meeting 2021, Hybrid Meeting: IN55A-02: AGU. 
  1. Crystal-Ornelas, R., Burrus, M., Cholia, S., Damerow, J., Hendrix, V. C, Robles, E., et al. (2021). Fundamentals for Collaborating on Research Projects Using GitHub. Presented at the AGU Fall Meeting 2021, Hybrid Meeting: U51B-06: AGU.
  1. Crystal-Ornelas, R., Varadharajan, C., Bond-Lamberty, B., Boye, K., Burrus, M., Cholia, S., Crow, M., et al. (2021). Community Data Standards for More Reusable Data in Earth and Environmental Science. Presented at AGU Fall Meeting 2021, Hybrid Meeting: IN55E-0282: AGU.
  1. Damerow, J., Varadharajan, C., Brodie, E., Canon, R., Dehal, R., Eloe-Fadrosh, E., et al. (2021). How do we make interdisciplinary sample data more FAIR? Presented at the AGU Fall Meeting 2021, Hybrid Meeting: IN34A-04: AGU.
  1. Damerow, J., Powers, L., Gries, C., Hienola, A. (2021). Connecting Disciplines and Data in Earth and Environmental Synthesis Research: Enabling International and Interdisciplinary Data Discovery, Integration, and Reuse III Poster. Presented at the AGU Fall Meeting 2021, Hybrid Meeting: IN45F: AGU.
  1. Damerow, J., Powers, L., Gries, C., Hienola, A. (2021). Connecting Disciplines and Data in Earth and Environmental Synthesis Research: Enabling International and Interdisciplinary Data Discovery, Integration, and Reuse II eLightning. Presented at the AGU Fall Meeting 2021, Hybrid Meeting: IN52B: AGU.
  1. Damerow, J., Powers, L., Gries, C., Hienola, A. (2021). Connecting Disciplines and Data in Earth and Environmental Synthesis Research: Enabling International and Interdisciplinary Data Discovery, Integration, and Reuse I Oral. Presented at the AGU Fall Meeting 2021, Hybrid Meeting: IN53A: AGU.
  1. O’Ryan, D., Crystal-Ornelas, R., Agarwal, D., Boye, K., Cholia, S., Damerow, J., et al. (2021). Applying Community Data Reporting Formats to Open-Source Water Quality Data. Presented at the AGU Fall Meeting 2021, Hybrid Meeting: IN45F-0495: AGU.
  1. Robles, E., Agarwal, D., Christianson, D., Faybishenko, B., Meng, L., Negron-Juarez, R., et al. (2021). Bringing more Tropical data to the table through the NGEE-Tropics data archive. Presented at the AGU Fall Meeting 2021, Hybrid Meeting: B45D-1647: AGU.
  1. Robles, E., Varadharajan, C., Burrus, M., Damerow, J., Cholia, S., Elbashandy, H., et al. (2021). FAIR Dataset Metadata: An Analysis of Requirements across Environmental Science Data Repositories. Presented at AGU Fall Meeting 2021, Hybrid Meeting: IN54A-04: AGU.
  1. Weisenhorn, P. (2021). Applying Data Standards and Reproducible Workflows To Advance Earth System Science. Presented at the AGU Fall Meeting 2021, Hybrid Meeting: IN52B-06: AGU.
  1. Crystal-Ornelas, R., Hudgins, E., Edwards, B., H., P. B. P., Martinez, C., Hébert, K., & Sánchez Reyes, L. Promoting GitHub use in Ecology and Evolution. Presented at SORTEE 2021, Virtual Conference.
  1. Agarwal, D., Cholia, S., Varadharajan, C., Hendrix, V. C., Damerow, J. E., Burrus, M., et al. (2020). The ESS-DIVE repository and next steps toward a usable, trusted, and FAIR repository. Presented at the AGU Fall Meeting 2020, Virtual Conference: IN008-03.
  1. Burrus, M., O’Brien, F., Varadharajan, C., Hendrix, V. C., Cholia, S., Elbashandy, H., et al. (2020). Increasing visibility of historical datasets through modern repository practices. Presented at the AGU Fall Meeting 2020, Virtual meeting: AGU.
  1. Crystal-Ornelas, R., Varadharajan, C., Bond-Lamberty, B. P., Boye, K., Burrus, M., Cholia, S., et al. (2020). Letting the community lead the way to data integration: Data standards and documentation developed by domain experts and the ESS-DIVE repository. Presented at the AGU Fall Meeting 2020, Virtual Meeting: IN015-07: AGU.
  1. Damerow, J. E., Varadharajan, C., Boye, K., Burrus, M., Chadwick, K. D., Cholia, S., et al. (2020). Connecting environmental systems science and digital library practices. Presented at the AGU Fall Meeting 2020, Virtual meeting: IN008-02.
  1. Ely, K. S., & Rogers, A. (2020). Making leaf physiology FAIR: a new standard for leaf-level gas exchange data and metadata. Presented at the AGU Fall Meeting 2020, Virtual meeting: IN045-03.
  1. Hendrix, V. C., Christianson, D. S., Varadharajan, C., Burrus, M., Cholia, S., Cheah, Y.-W., et al. (2020). Tackling the challenges of Earth science data synthesis: Insights from (meta) data standards approaches. Presented at the AGU Fall Meeting 2020, Virtual Meeting: IN012-07.
  1. Kakalia, Z., Varadharajan, C., Burrus, M., Christianson, D. S., Crystal-Ornelas, R., Damerow, J. E., et al. (2020). Incorporating data management best practices into scientific workflows. Presented at the AGU Fall Meeting 2020, Virtual: IN016-07.
  1. Robles, E., Varadharajan, C., Cholia, S., Hendrix, V. C., Damerow, J. E., Burrus, M., et al. (2020). Optimizing the efficiency of metadata curation in large scale data repositories. Presented at the AGU Fall Meeting 2020, Virtual meeting: IN047-09.
  1. Simmonds, M., Riley, W. J., Melara, M., Cholia, S., & Varadharajan, C. (2020). Addressing model data archiving needs for the Department of Energy’s environmental system science community. Presented at the AGU Fall Meeting 2020, Virtual Meeting: IN008-01.
  1. Varadharajan, C., Cholia, S., Snavely, C., Hendrix, V., Damerow, J., Burrus, M., et al. (2020). Community-oriented cross disciplinary repositories can enable science. Presented at the Ecological Society of America Annual Meeting, Virtual Meeting: ESA.
  1. Agarwal, D., Varadharajan, C., Christianson, D. S., Hendrix, V., Damerow, J., Cheah, Y. W., et al. (2019). Addressing paradigm shifts and competing interests in an open science world. Presented at the AGU Fall Meeting 2019, San Francisco, CA: IN22C-18.
  1. Agarwal, D., Varadharajan, C., Damerow, J., Cholia, S., Hendrix, V., Elbashandy, H., et al. (2019). Designing the ESS-DIVE data repository to be trusted by the community and FAIR. Presented at the AGU Fall Meeting 2019, San Francisco, CA: IN14B-16.
  1. Damerow, J., Agarwal, D., Varadharajan, C., Cholia, S., Snavely, C., Hendrix, V., et al. (2019). Community engagement and standards for ESS-DIVE: A DOE Earth and environmental data repository. Presented at the DataONE Community Meeting 2019, Tacoma, WA.
  1. Damerow, J., Agarwal, D., Boye, K., Brodie, E., Cholia, S., Elbashandy, H., et al. (2019). Community use of persistent sample identifiers and metadata standards: supporting efficient data management in the field, laboratory, and online (Vol. 2019, p. IN32A–05). Presented at the AGU Fall Meeting 2019, San Francisco, CA: IN32A-05.
  1. Hendrix, V. C., Snavely, C., & Cholia, S. (2019). ESS-DIVE: A scalable community repository for managing Earth and environmental science data. Presented at the Gateways.
  1. Kakalia, Z., Damerow, J., Agarwal, D., Cholia, S., Elbashandy, H., Hendrix, V., et al. (2019). Standardizing metadata quality review for an environmental data repository. Presented at the AGU Fall Meeting, San Francisco, CA: IN14B-09.
  1. O’Brien, F., Agarwal, D., Cholia, S., Jones, C. S., Jones, M. B., Damerow, J., et al. (2019). Increasing efficiency in data publication using semi-automated workflow. Presented at the AGU Fall Meeting 2019, San Francisco, CA: IN51F-0705.
  1. Robles, E., Agarwal, D., Christianson, D. S., Faybishenko, B., Negron Juarez, R. I., Pastorello, G., & Varadharajan, C. (2019). Utilizing interdisciplinary strategies for next generation ecosystem experiments data organization. Presented at the AGU Fall Meeting 2019, San Francisco, CA: IN51F-0700.
  1. Varadharajan, C., Arora, B., Cholia, S., Christianson, D. S., Damerow, J., Dwivedi, D., et al. (2019). Utilizing diverse data in scientific analysis and modeling for water resource management. Presented at the AGU Fall meeting 2019, San Francisco, CA: IN51A-01.
  1. Varadharajan, C., Cholia, S., Damerow, J., Elbashandy, H., Hendrix, V., Jones, C. S., et al. (2019). A community-centered approach to managing environmental data in repositories (Vol. 2019). Presented at the AGU Fall Meeting 2019, San Francisco, CA: IN51F-0690.
  1. Agarwal, D., Varadharajan, C., Christianson, D. S., Cheah, Y. W., Pastorello, G., Chu, H., et al. (2018). Enabling scalable integration of diverse data. Presented at the AGU Fall Meeting 2018, Washington, D.C.: IN34B-01.
  1. Agarwal, D., Varadharajan, C., Cholia, S., Snavely, C., Hendrix, V., O’Brien, F., et al. (2018). Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE): Report on our first 18 months. Presented at the AGU Fall Meeting 2018, Washington, D.C.: IN52B-06.
  1. Snavely, C., Alvarez, G., Hendrix, V., Cholia, S., & Lasiewski, S. (2018). Spin: A Docker-based platform for deploying science gateways at NERSC. Presented at the Proc. Gateways.
  1. Varadharajan, C., Hendrix, V., & Agarwal, D. (2018). A brokering approach to integrate diverse environmental datasets for online visualization, modeling and analysis. Presented at the AGU Fall Meeting 2018, Washington, D.C.: IN43A-11.
  1. Varadharajan, C., Cholia, S., Snavely, C., Hendrix, V., O’Brien, F., Elbashandy, A., Gunter, D., Riley, W., Jones, C., Jones, M., Budden, A. E., Vieglas, D. & Agarwal, D. (2018). ESS-DIVE publishing life cycle and community outreach. Presented at the ESS-PI Meeting 2018, Potomac, MD.
  1. Agarwal, D., Varadharajan, C., Cholia, S., Snavely, C., Hendrix, V., Gunter, D., et al. (2017). Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) – A new U.S. DOE data archive. Presented at the AGU Fall Meeting 2017, New Orleans, Louisiana: IN12B-06.

White Papers

  1. Cholia, S., Varadharajan, C., Pastorello, G. (2021). Integrating models with real-time field data for extreme events: From field sensors to models and back with AI in the loop [White paper]. U.S. Department of Energy Office of Scientific and Technical Information. https://doi.org/10.2172/1769727
  1. Crystal-Ornelas, R., Varadharajan, C., Christianson, D., Damerow, J., Weierbach, H., Robles, E., Ramakrishnan, L., Faybishenko, B., Pastorello, G. (2021). A library of AI-assisted FAIR water cycle and related disturbance datasets to enable model training, parameterization and validation [White paper]. U.S. Department of Energy Office of Scientific and Technical Information. https://doi.org/10.2172/1769646
  1. Varadharajan, C., Wu, Y., Wiedlea, A., Jardine, K., Wainwright, H., Crystal-Ornelas, R., Damerow, J., Weirbach, H., Groves, T., Pastorello, G., Ramakrishnan, L., Mueller, J., Christianson, D. (2021). Observational capabilities to capture water cycle event dynamics and impacts in the age of AI [White paper]. U.S. Department of Energy Office of Scientific and Technical Information. https://doi.org/10.2172/1769755
  1. Varadharajan, C., Kumar, V., Willard, J., Zwart, J., Sadler, J., Weierbach, H., Perciano, T., Mueller, J., Hendrix, V., Christianson, D. (2021). Using machine learning to develop a predictive understanding of the impacts of extreme water cycle perturbations on river water quality [White paper]. U.S. Department of Energy Office of Scientific and Technical Information. https://doi.org/10.2172/1769795

Datasets and Reporting Formats

  1. Damerow, J., Raia, N., Stanley, V., Byers, N., Choe, S., Edmunds, R., et al. (2024). A Scientific Author Guide for Publishing Open Research Using Physical Samples. ESIP. Online resource. https://doi.org/10.6084/m9.figshare.24669057.v1
  1. Raia, N., Damerow, J., Stanley, V., Lehnert, K., O’Ryan, D., Plomp, E., et al. (2023). 4 Steps to Publish Open Earth Science Samples. ESIP. Online resource. https://doi.org/10.6084/m9.figshare.24291148.v2
  1. Ely, K., Yang, D., Serbin, S. (2023). ESS-DIVE Unoccupied Aerial Systems (UAS) Reporting Format v1 [Dataset]. Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE). https://doi.org/10.15485/2204420
  1. Weisenhorn, P., Beilsmith, K. (2022). ESS-DIVE Reporting Format for Amplicon Abundance Table [Dataset]. Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE). https://doi.org/10.15485/1865729
  1. Crystal-Ornelas, R., Varadharajan, C., Beilsmith, K., Bond-Lamberty, B., Boye, K., Burrus, M., et al. (2022). Data from: “Enabling FAIR data in Earth and environmental science with community-centric (meta)data reporting formats” [Dataset]. Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE). https://doi.org/10.15485/1866606
  1. Crystal-Ornelas, R., O’Ryan, D., Christianson, D., Hendrix, V.C., Agarwal, D., Varadharajan, C. (2022). ESS-DIVE Reporting Format for Location Metadata [Dataset]. Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE). https://doi.org/10.15485/1865730
  1. Boye, K., Crystal-Ornelas, R., O’Ryan, D., Goldman, A.E., Damerow, J., Varadharajan, C., Agarwal, D. (2022). ESS-DIVE Reporting Format for Sample-based Water and Soil Chemistry Measurements [Dataset]. Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE). https://doi.org/10.15485/1865731
  1. Agarwal, D., Cholia, S., Hendrix, V.C., Crystal-Ornelas, R., Snavely, C., Damerow, J., Varadharajan, C. (2022). ESS-DIVE Reporting Format for Dataset Package Metadata [Dataset]. Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE). https://doi.org/10.15485/1866026
  1. Velliquette, T., Welch, J., Crow, M., Devarakonda, R., Heinz, S., Crystal-Ornelas, R. (2021). ESS-DIVE Reporting Format for Comma-separated Values (CSV) File Structure [Dataset]. Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE). https://doi.org/10.15485/1734841
  1. Simmonds, M. B., Crystal-Ornelas, R., Riley, W., Agarwal, D., Chen, X., Cholia, S., Coon, E., Dwivedi, D., Hendrix, V. C., Huang, M., Jan, A., Kakalia, Z., Kumar, J., Koven, C., Li, L., Melara, M., Ramakrishnan, L., Ricciuto, D., Walker, A., Zhi, W., Zhu, Q., Varadharajan, C. (2021). ESS-DIVE guidelines for archiving terrestrial model data [Dataset]. Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE). https://doi.org/10.15485/1813868
  1. Goldman, A., Ren, H., Torgeson, J., Zhou, H. (2021). ESS-DIVE Reporting Format for Hydrologic Monitoring Data and Metadata [Dataset]. Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE). https://doi.org/10.15485/1822940
  1. McNelis, J., Crow, M., and Devarakonda, R. (2020). ESS-DIVE File Level Metadata Extractor. Computer Software. U.S. Department of Energy Office of Scientific and Technical Information. https://doi.org/10.11578/dc.20201103.5
  1. Bond-Lamberty, B., Christianson, D. S., Robert, C.-O., Kayla, M., & Pennington, S. C. (2021). ESS-DIVE reporting format for field measurements of soil respiration [Dataset]. Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE). https://doi.org/10.15485/1798520
  1. Crystal-Ornelas, R., Varadharajan, C., Bond-Lamberty, B., Boye, K., Cholia, S., Crow, M., et al. (2021). Data from: “A guide to using GitHub for developing and versioning data standards and reporting formats” [Dataset]. Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE). https://doi.org/10.15485/1780565
  1. Crystal-Ornelas, R., Varadharajan, C., Bond-Lamberty, B., Boye, K., Burrus, M., Cholia, S., et al. (2021). Templates for developing and versioning data standards and reporting formats using GitHub [Dataset]. Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE). https://doi.org/10.15485/1780564
  1. Damerow, J., Varadharajan, C., Boye, K., Brodie, E., Burrus, M., Chadwick, D., et al. (2020). ESS-DIVE global sample numbers and metadata reporting format for Environmental Systems Science (IGSN-ESS) [Dataset]. Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE). https://doi.org/10.15485/1660470
  1. Ely, K., Rogers, A., & Crystal-Ornelas, R. (2020). ESS-DIVE reporting format for leaf-level gas exchange data and metadata [Dataset]. Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE). https://doi.org/10.15485/1659484